-------------------------------------------------------------------------------- DOCUMENT CONTROL (HEADER) -------------------------------------------------------------------------------- Document ID : DARX_STRAT_SPEC_001 Title : GROVE, Grocery Relationship, Opportunity and Velocity Engine, Proprietary Specialty Buyer Relationship Cultivation System Version : 1.1 Status : DRAFT Classification : CONFIDENTIAL, TRADE SECRET (Candidate for inclusion as Trade Secret 6 in next revision of DAB-TS-2026-01) Prepared By : PYB / Daralbeida Reviewed By : (pending) Approved By : (pending) Approval Date : (pending) Owner : PYB / Daralbeida Date Created : 2026-05-12 Last Revised : 2026-06-13 00:00 UTC Update Cycle : Quarterly Next Review Due : (pending) Annual Review : Yes Retention : Duration of Daralbeida operations; maintained as trade secret under DTSA and CUTSA Department : STRAT Style : BPGP Keywords : GROVE, specialty grocery, buyer relationship, cultivation, trade secret, CRM, harvest calendar, opportunity scoring Related Docs : DAB-TS-2026-01 v1.1 (Trade Secret Documentation); DAB-SOP-SOURCING-001 Rev1 (Producer Qualification Protocol); DAB_Lot_Record.xlsx (Lot Record Architecture); 20260512_DARX_STRAT_PLATFORM_VISION_001.TXT Supersedes : DARX_STRAT_GROVE_20260512.txt Superseded By : (none, current version) -------------------------------------------------------------------------------- OUTLINE -------------------------------------------------------------------------------- 1. Purpose and Scope 2. Strategic Rationale 3. System Name and Conceptual Framework 3.1 System Name 3.2 Conceptual Framework, The Cultivation Metaphor 3.3 Why the Metaphor Is Proprietary, Not Decorative 4. Architecture Overview 5. Module 1, Cultivation Cycle Engine 5.1 Module Purpose 5.2 Buyer Record Schema 5.3 Banner Tier Taxonomy 5.4 Cultivation Stage Definitions and Transition Logic 5.5 Stage Transition Rules 5.6 Forbidden Actions per Stage 6. Module 2, Harvest-Calendar Alignment Layer 6.1 Module Purpose 6.2 The Four Annual Touchpoints 6.3 Why This Calendar Is Proprietary 6.4 Touchpoint Template Architecture 6.5 Calendar Synchronization with Trade Shows 7. Module 3, Opportunity Builder 7.1 Module Purpose 7.2 The Five Signal Streams 7.3 Signal-to-Opportunity Cross-Reference Logic 7.4 Opportunity Card Structure 7.5 Win-Probability and Value Scoring 7.6 Operator Triage Workflow 7.7 Example Opportunity Card 8. Module 4, Sidetrack Detection 8.1 Module Purpose 8.2 Sidetrack Triggers 8.3 Sidetrack Alert Structure 8.4 Recovery Action Library 8.5 Recovery Action Forbidden List 9. Module 5, Market Intelligence Layer 9.1 Module Purpose 9.2 Source Categories and Ingestion Methods 9.3 Weekly Intelligence Digest 9.4 Year 1 vs Year 2 Ingestion 10. Integration with Existing Daralbeida Systems 10.1 Integration Map 10.2 Producer-to-Buyer Matching 10.3 Lot-to-Outreach Synchronization 10.4 Boundary with DAB Trade Secret Documents 11. Technical Implementation Phasing 11.1 Year 1, Manual Implementation 11.2 Year 2, Semi-Automated Implementation 11.3 Year 3, Proprietary Application 11.4 Build vs Buy Decision Frame 12. Operating Cadence 12.1 Daily Cadence 12.2 Weekly Cadence 12.3 Monthly Cadence 12.4 Quarterly Cadence 12.5 Annual Cadence 13. Performance Metrics 13.1 Operator-Facing Metrics 13.2 Outcome Metrics 13.3 Diagnostic Metrics 14. Trade Secret Protection Measures 14.1 Legal Basis 14.2 Specific Proprietary Elements Protected 14.3 Secrecy Measures 14.4 Trade Secret Inventory Update 15. Failure Modes and Guardrails 15.1 System Failure Modes 15.2 System Discontinuation Conditions 16. Commercialization Potential 16.1 Standalone Commercial Asset 16.2 Strategic Considerations 16.3 Decision Deferral 17. AI Prompts 18. Revision History 19. Acronyms 20. Glossary DOCUMENT CONTROL (FOOTER) -------------------------------------------------------------------------------- ================================================================================ 1. PURPOSE AND SCOPE ================================================================================ This document specifies GROVE, a proprietary system for cultivating commercial relationships with premium specialty grocery buyers in the United States market. GROVE is designed and owned by Daralbeida. The system addresses a structural problem: generic customer relationship management software is built for transactional sales cycles measured in days or weeks. The specialty grocery channel operates on relationship cycles measured in years, aligned to agricultural harvest calendars, and driven by non-obvious signal streams (chef adoption, food media, peer-buyer reference, competitor placement). No commercial software product on the market is calibrated to this operational reality. GROVE is the calibration. It is a system of methodology, taxonomy, signal detection, and decision logic, initially implemented as a manual workflow on commodity tooling in Year 1, migrating to a proprietary application in Year 2 and beyond. This specification governs the design, build, operation, and protection of GROVE as a Daralbeida proprietary asset. It is a controlling reference for any contractor, advisor, or AI tool engaged in supporting the development of buyer relationships at Daralbeida. Scope: In scope: - Specialty grocery buyer relationship management - Chef and food-media monitoring tied to buyer cultivation - Opportunity identification and prioritization - Relationship-state tracking and drift detection - Integration with Daralbeida supply-side records (lots, producers) Out of scope: - Direct-to-consumer customer relationship management - Amazon FBA reviewer management (handled separately) - Foodservice and restaurant buyer relationships (parallel system, TBD) - Investor relationship management - Producer relationship management (governed by DAB-SOP-SOURCING-001) ================================================================================ 2. STRATEGIC RATIONALE ================================================================================ The premium specialty grocery channel is a network, not a market. A new brand's path through this network is determined by sequence and timing more than by absolute product quality. A superior product introduced in the wrong sequence underperforms; a comparable product introduced in the right sequence wins shelf. Five structural facts make this channel resistant to generic CRM tooling. Fact A, Buyer tenure. Specialty buyers stay in role 5 to 15 years, compared to 18 to 36 months for mainstream category managers. Relationship investments compound over multi-year horizons. Generic CRM systems are built around quarterly pipeline math and cannot model a five-year courtship. Fact B, Agricultural cycle. The product is a single-harvest agricultural good. The natural cadence of producer relationships (harvest in November, milling December through January, first lots ready February) creates a calendar that retailer merchandising teams also recognize. Buyer outreach calibrated to this cycle reads as authentic; buyer outreach disconnected from it reads as generic. Fact C, Reference effect. Specialty buyers grant placement primarily on the basis of peer signal (other banners' adoption), media signal (chef and editorial coverage), and palate signal (personal tasting). Cold deck submission is the weakest path. Generic CRM systems weight email engagement metrics that are irrelevant to this channel. Fact D, Opportunity surface area. The set of signals that can produce a buyer-adjacent opportunity is large and heterogeneous: a chef's James Beard nomination, a buyer's job change, a competitor's delisting, a media mention, a retailer's store-opening, a sofi Award cycle, an SFA committee assignment. Generic CRM systems do not ingest or correlate these signals. Fact E, Sourcing-to-buyer continuum. In single-estate agricultural products, the supplier story is part of the demand pitch. A buyer who responds to a producer's harvest narrative must be matched to the specific lot from that producer. Generic CRM systems separate supplier and customer records; the linkage is the proprietary value. GROVE is the operating system that converts these five structural facts into a defensible commercial advantage. Its existence makes Daralbeida's specialty-channel development materially more productive than competitors working from generic CRM tooling or no system at all. ================================================================================ 3. SYSTEM NAME AND CONCEPTUAL FRAMEWORK ================================================================================ 3.1 SYSTEM NAME GROVE, Grocery Relationship, Opportunity and Velocity Engine. The name carries the central metaphor: a buyer relationship portfolio is a grove of trees, each at a different stage of cultivation, requiring different inputs at different times of year, producing on its own schedule, and benefiting from collective tending rather than transactional harvest. 3.2 CONCEPTUAL FRAMEWORK, THE CULTIVATION METAPHOR Every buyer relationship in the GROVE portfolio occupies a defined cultivation stage at any given time. Movement between stages requires specific inputs and produces measurable outputs. The metaphor is operative, not decorative: it governs the data model, the workflow, and the operator's mental discipline. Cultivation stages (defined in full in Section 5): Stage Name Plain Definition ────────────── ──────────────────────────────────────────────────────────── SEED Identified; not yet contacted SAPLING Contacted; awaiting first substantive response GRAFT In active conversation; no commitment yet MATURE Sample in evaluation; verbal interest expressed PRODUCING Active account; at least one purchase order placed FALLOW Relationship paused, lost, or dormant; revival candidate The metaphor disciplines the operator. A SAPLING is not pushed for a purchase order. A PRODUCING account is not allowed to drift into FALLOW. A FALLOW relationship is not abandoned permanently. Each stage has its own work; mixing stages dilutes results. 3.3 WHY THE METAPHOR IS PROPRIETARY, NOT DECORATIVE The cultivation taxonomy is operative. It defines: - Which actions are appropriate at each stage - Which actions are forbidden at each stage - Which signals trigger stage transitions - Which intervals must elapse between stage transitions - Which inputs are scheduled automatically by the system This level of operational specification, taxonomy plus decision logic plus interval rules, is not present in any generic CRM. It is the first layer of GROVE's proprietary character. ================================================================================ 4. ARCHITECTURE OVERVIEW ================================================================================ GROVE consists of five integrated modules operating against a unified buyer record. The buyer record is the central data object; the modules are the active functions that read from and write to that record. Module Function ──────────────────────────── ────────────────────────────────────────────── Cultivation Cycle Engine Manages stage taxonomy and stage transitions Harvest-Calendar Alignment Schedules annual touchpoint cadence Opportunity Builder Detects signals; generates action cards Sidetrack Detection Flags relationship drift; recommends recovery Market Intelligence Layer Ingests external signals; routes to modules The buyer record schema is defined in Section 5.2. Each module operates on a defined cadence (specified in Section 12) and produces defined outputs (specified per module section). The system is designed to be operable manually in Year 1 (Airtable or Notion plus disciplined operator review), semi-automated in Year 2 (custom application with API ingestion), and fully proprietary in Year 3 and beyond. ================================================================================ 5. MODULE 1, CULTIVATION CYCLE ENGINE ================================================================================ 5.1 MODULE PURPOSE The Cultivation Cycle Engine maintains the stage classification of every buyer in the portfolio and governs movement between stages. It is the backbone of the system; the other four modules read from and write to the stage data it maintains. 5.2 BUYER RECORD SCHEMA Every buyer in the GROVE portfolio is represented by a single record with the following fields. All fields are required unless marked optional. Field Type / Source and Notes ────────────────────────── ────────────────────────────────────────────── Buyer ID String. DARX-BYR-NNNN sequential Full Name String. As used professionally Title String. Current role title Banner String. Retailer name Banner Tier Enum. See 5.3 Banner Region String. For multi-region retailers Banner Door Count Integer. Stores under buyer's scope Direct Email String. Verified working address Mobile Phone String. Optional; only if obtained LinkedIn URL String. Direct profile link Cultivation Stage Enum. See 5.4 Stage Entry Date Date. Date of entry to current stage Days in Stage Integer. Computed Last Touch Date Date. Most recent meaningful contact Days Since Touch Integer. Computed Last Touch Channel Enum. Email / Phone / In-person / Sample / Trade-show / Other Last Touch Summary Text. One-sentence verbatim Tasting Reactions Log Text array. Verbatim buyer language per tasting event Story Hooks Text array. Which narrative anchors resonate with this buyer (chemistry, chef, geography, founder story) Adjacent Banners Held Text array. Other banners this buyer previously worked at Peer Buyers Text array. Buyers this buyer references or is known to talk with Quality Standards Bar Enum. STRICT / STANDARD / EDITORIAL Slot Cycle String. Category review cadence at buyer's banner Next Slot Review Date Date. Computed from Slot Cycle Producer Match Preference Text array. DAB-PROD IDs whose oil this buyer has responded to Lot Match History Text array. Lot IDs sampled to this buyer Notes (free) Text. Personal context, family, memorable conversation items 5.3 BANNER TIER TAXONOMY Banner tier governs prioritization. Higher tier means higher strategic value and earlier sequencing in the LA DMA development plan. Tier Definition and Example Banners ──── ────────────────────────────────────────────────────────────────── T1 Founder-owned independents with editorial selection. Examples: Vicente Foods, Cookbook Market, Cheese Store of Beverly Hills T2 Regional premium chains, 5 to 15 stores. Examples: Erewhon, Mollie Stone's, Bi-Rite, Berkeley Bowl, Lassens T3 Mid-size regional chains, 15 to 50 stores. Examples: Bristol Farms, Gelson's, Mother's Market T4 National natural / specialty, regional buyer access only. Examples: Whole Foods Market Regional Forager teams T5 Curatorial pantry / cheese, editorial selection. Examples: Murray's, Zingerman's mail-order, Eataly, Foragers Market NY T6 National natural, central buyer (Year 3 plus). Examples: Whole Foods Market Global Merchant Austin 5.4 CULTIVATION STAGE DEFINITIONS AND TRANSITION LOGIC Stage Entry Criterion and Exit Criterion to Next Stage ───────── ───────────────────────────────────────────────────────────── SEED Entry: Buyer identified through market intelligence; record created. Exit: First outbound contact sent SAPLING Entry: First outbound contact sent; awaiting first substantive response. Exit: Any meaningful response received (a reply, a referral, a meeting accepted, a request for sample) GRAFT Entry: Active conversation ongoing; responses received but no commitment. Exit: Verbal interest expressed in considering the product; sample request granted MATURE Entry: Sample in evaluation; tasting completed or scheduled; specific terms under discussion. Exit: First purchase order placed PRODUCING Entry: Active account; at least one purchase order placed and fulfilled. Exit: Six months without re-order or delisting confirmed FALLOW Entry: Relationship paused, lost, or dormant; six months. Exit: New touchpoint accepted or re-engaged conversation 5.5 STAGE TRANSITION RULES Transitions are governed by event triggers logged in the buyer record, not by operator discretion alone. The Cultivation Cycle Engine flags proposed transitions for operator confirmation. Forward transitions (SEED to PRODUCING) require evidence: - Event documented in Last Touch Summary - Date stamped - Channel logged - If applicable, lot ID referenced from Lot Match History Backward transitions (any stage to FALLOW) trigger automatically when: - Days Since Touch exceeds 180 for SAPLING, GRAFT, or MATURE stages - Days Since Touch exceeds 270 for PRODUCING stage - Explicit delisting communication is logged - Buyer departure from banner is detected via Market Intelligence Layer Recovery transitions (FALLOW back to active) require: - Re-engagement event logged - Operator confirmation - System resets Days in Stage counter 5.6 FORBIDDEN ACTIONS PER STAGE Each stage has actions that are operationally forbidden because they damage future conversion. The system blocks or warns on these. Stage Forbidden Actions ───────── ──────────────────────────────────────────────────────────── SEED Sending a deck or pricing sheet before first personal contact SAPLING Multiple follow-ups within seven days of initial outreach; pricing discussion before sample request GRAFT Pushing for a purchase order; introducing additional SKUs; cold-broker referral MATURE Discounting; promotional offers; over-promising volume PRODUCING Allowing more than 90 days to pass without touch; failing to send harvest update in November FALLOW Aggressive re-engagement; weekly contact; punitive tone The forbidden-actions taxonomy is part of the proprietary methodology. It encodes hard-won judgment about what damages specialty buyer relationships in ways that recover slowly or not at all. ================================================================================ 6. MODULE 2, HARVEST-CALENDAR ALIGNMENT LAYER ================================================================================ 6.1 MODULE PURPOSE The Harvest-Calendar Alignment Layer schedules the four annual touchpoints that every active buyer relationship requires, calibrated to the olive harvest cycle and the specialty channel calendar. It produces draft outreach for each touchpoint, customized per buyer using fields from the buyer record. 6.2 THE FOUR ANNUAL TOUCHPOINTS Touch Window and Subject Anchor ──────────── ────────────────────────────────────────────────────────── Harvest Window: November 1 to 15. Anchor: Current campaign begins; first-press expected; lot architecture preview New Lot Window: January 20 to February 10. Anchor: First-press lots ready; tech sheets attached; sample shipment offered Show Window: June 15 to 30. Anchor: Summer Fancy Food Show booth or coffee meeting at Javits Pre-Holiday Window: September 10 to 30. Anchor: Q4 merchandising support; new SKU notification (BIB 3L Year 2 plus); chef partnership recap 6.3 WHY THIS CALENDAR IS PROPRIETARY Generic outreach calendars run on retailer fiscal quarters or random intervals. The harvest-aligned calendar reads to specialty buyers as authentic because it matches the actual agricultural reality. A buyer who receives a November harvest note recognizes that the brand is operating from real producer relationships, not generic marketing automation. Over multi-year horizons, this authenticity gap becomes defensible. 6.4 TOUCHPOINT TEMPLATE ARCHITECTURE Each of the four touchpoints has a template architecture, not a fixed template. The system assembles outreach from: - Layer A, Touchpoint subject anchor (fixed per touchpoint) - Layer B, Banner tier customization (T1 through T6 has different tone) - Layer C, Cultivation stage customization (SAPLING through PRODUCING have different content needs) - Layer D, Story hook insertion (uses Story Hooks field from buyer record to select narrative anchors) - Layer E, Lot reference (uses Lot Match History and current available lots to suggest specific product references) - Layer F, Personal context (uses Notes field to insert one-line personalization) The combination of layers produces an outreach draft. The operator reviews, edits, and sends. The system never sends automatically. The operator is always in the loop because specialty buyers read autopilot immediately and discount it. 6.5 CALENDAR SYNCHRONIZATION WITH TRADE SHOWS The June Show touchpoint window aligns with Summer Fancy Food Show NYC. Pre-show buyer meeting booking begins six weeks before the show. The system generates a Show Outreach Queue listing every PRODUCING, MATURE, and GRAFT-stage buyer attending the show, with a draft outreach pre-populated with the booth or coffee-meeting slot. ================================================================================ 7. MODULE 3, OPPORTUNITY BUILDER ================================================================================ 7.1 MODULE PURPOSE The Opportunity Builder continuously monitors a defined set of external signal streams, cross-references each signal against the buyer portfolio, and generates Opportunity Cards recommending specific actions with estimated win-probability and value. This module is the active engine of the system; the Cultivation Cycle Engine and Harvest-Calendar Layer maintain the relationship infrastructure, but the Opportunity Builder generates the asymmetric advantage. 7.2 THE FIVE SIGNAL STREAMS Stream Source Examples ────────────────────── ──────────────────────────────────────────────── Buyer Movement LinkedIn role changes; banner press releases; Specialty Food News personnel announcements Chef Adoption Restaurant menu mentions; chef Instagram posts; James Beard nominations; Michelin guide updates; food media coverage of specific chefs Media Mentions Eater LA / NY / Bay Area; Bon Appétit; Cherry Bombe; NYT Food; Punch; Food and Wine; Saveur; TASTE; Tasting Table; LA Magazine Retailer Org Changes Store openings; M&A activity; new buyer hires; category review schedule changes; LEAP and On the Verge cohort announcements Competitive Placement New brands appearing on premium shelves; delistings of incumbent brands; pricing changes in the premium tier 7.3 SIGNAL-TO-OPPORTUNITY CROSS-REFERENCE LOGIC A raw signal is not an opportunity. The Opportunity Builder converts a signal into an opportunity by cross-referencing against the buyer portfolio. The transformation logic: 1. Step 1. Ingest signal with source, timestamp, entity references (chef name, banner name, buyer name, brand name, etc.) 2. Step 2. Match entity references against buyer records (Peer Buyers, Adjacent Banners Held, Story Hooks fields) 3. Step 3. For each match, evaluate whether the signal creates a credible conversation opener (yes / no) 4. Step 4. For each yes, generate an Opportunity Card with the structure defined in Section 7.4 5. Step 5. Score the opportunity using the model defined in Section 7.5 7.4 OPPORTUNITY CARD STRUCTURE Every Opportunity Card carries the following fields: Field Content ────────────────────────── ────────────────────────────────────────────── Card ID DARX-OPP-YYYYMMDD-NNN sequential Generated Date Date and time of card creation Signal Source Original signal reference and URL Signal Summary One-sentence factual description Target Buyer ID Buyer this opportunity relates to Target Buyer Stage Current cultivation stage Conversation Opener Suggested two-sentence outreach lead Recommended Action Specific next step (call / email / sample / show invitation / in-person visit) Win Probability Low / Medium / High per Section 7.5 Estimated Value Dollar value of placement if won (per Section 7.5) Deadline Date after which the signal goes stale Operator Decision Pending / Acted / Declined / Escalated 7.5 WIN-PROBABILITY AND VALUE SCORING Win-probability is scored on a three-tier model: Tier Definition ─────── ──────────────────────────────────────────────────────────────── Low Signal is real but loose connection to buyer; less than 15 percent probability of producing a meaningful conversation Medium Signal is real and buyer-adjacent; 15 to 40 percent probability of producing a meaningful conversation High Signal is direct (mentions buyer or buyer's banner or buyer's known referent); above 40 percent probability Estimated value is computed as: Estimated Value = Banner Door Count x $304 x 1 year shelf time Where $304 is the annual gross margin per shelf-inch at the 1.5 bottles-per-door-per-week velocity threshold (derived in Principle 7 of the buyer networking framework). Banner Door Count is taken from the buyer record. This produces a directional dollar value, not a forecast. The purpose is operator triage among multiple opportunities competing for the same hour of attention. 7.6 OPERATOR TRIAGE WORKFLOW Opportunity Cards are presented to the operator in a daily queue, sorted by: 1. First. Deadline (earliest first) 2. Second. Win Probability (high to low) 3. Third. Estimated Value (high to low) The operator works the top three cards in the queue each business day. Cards not acted on by their Deadline are auto-archived with status Declined. The system does not allow more than three cards per day in the active queue to enforce focus. 7.7 EXAMPLE OPPORTUNITY CARD Field Content ─────────────── ─────────────────────────────────────────────────────── Card ID DARX-OPP-20260612-007 Signal Source Eater LA, June 11 2026 feature on rising LA chefs Signal Summary Chef A of Restaurant B named to Eater LA top ten; Restaurant B serves Mediterranean cuisine Target Buyer DARX-BYR-0014 (specialty buyer at Bristol Farms) Stage GRAFT (in active conversation, no commitment) Opener Suggest sending the article link with a one-paragraph note: Chef A is using DARAL7; the Bristol Farms shopper who recognizes Restaurant B will recognize the bottle on the shelf Action Email with article attached and current-lot tech sheet Win Probability Medium Estimated Value $304 x 38 doors = $11,552 annual margin Deadline June 26 2026 (14 days from card creation) ================================================================================ 8. MODULE 4, SIDETRACK DETECTION ================================================================================ 8.1 MODULE PURPOSE Sidetrack Detection identifies buyer relationships drifting off the expected cultivation path before they decay into FALLOW. The module is the defensive counterpart to the Opportunity Builder: where the Opportunity Builder finds new openings, Sidetrack Detection protects existing positions. 8.2 SIDETRACK TRIGGERS The module monitors four trigger conditions per active buyer. Trigger A, Touch Lapse. Days Since Touch exceeds the threshold for the buyer's cultivation stage: - SAPLING / GRAFT / MATURE: 90 days - PRODUCING: 120 days Threshold breach generates a Sidetrack Alert. Trigger B, Milestone Miss. Expected milestone fails to occur within expected window: - PRODUCING account does not re-order within 60 days of typical re-order interval - MATURE buyer who requested sample does not respond within 30 days of sample delivery confirmation - GRAFT buyer who agreed to next-step meeting does not follow through within 21 days Trigger C, Sentiment Drift. Last Touch Summary contains language patterns associated with cooling. Examples flagged for operator review: - Buyer references budget constraint - Buyer references category review postponement - Buyer expresses concern about velocity at peer banners - Buyer mentions competitor brand favorably Detection is initially manual review of recent Last Touch Summary entries; Year 2 implementation may use LLM-assisted pattern matching with operator confirmation required. Trigger D, Competitor Placement. Market Intelligence Layer detects a competitor placing oil at the buyer's banner in the Daralbeida category position; system flags for operator review. 8.3 SIDETRACK ALERT STRUCTURE Field Content ────────────────────────── ────────────────────────────────────────────── Alert ID DARX-STA-YYYYMMDD-NNN sequential Buyer ID Buyer affected Trigger Type A / B / C / D per Section 8.2 Trigger Detail Specific data triggering the alert Severity Low / Medium / High Recommended Recovery Recommended action from Section 8.4 Recovery Deadline Date by which action should occur 8.4 RECOVERY ACTION LIBRARY Each trigger type has a recovery action library. The library encodes operator judgment about what works in the specialty channel. Trigger and Severity Recommended Recovery ────────────────────────── ────────────────────────────────────────────── A Touch Lapse, Low Send tasting-relevant article or trade item; no ask; resume cadence A Touch Lapse, Medium Schedule call or in-person; reference last conversation specifically A Touch Lapse, High In-person visit if geography permits; sample of new lot delivered in person B Milestone Miss, Low One follow-up email with no apology language B Milestone Miss, Medium Phone call; ask directly whether priorities have shifted B Milestone Miss, High Move buyer to FALLOW; schedule revival touchpoint in 90 days C Sentiment Drift, Low Continue scheduled cadence; monitor next touch C Sentiment Drift, Medium Adjust narrative; bring fresh story hook from Story Hooks library; offer second tasting C Sentiment Drift, High In-person visit; bring producer story update; do not pitch D Competitor Placement, Low Note competitor placement; continue cadence; do not reference unless buyer raises it D Competitor Placement, Strengthen differentiation narrative; offer Medium comparative tasting at next touch D Competitor Placement, Reassess banner fit; consider category High position adjustment (different SKU or different shelf) 8.5 RECOVERY ACTION FORBIDDEN LIST Certain recovery responses are forbidden because they damage the relationship beyond the original sidetrack: - Apologizing for lack of follow-up (signals weakness without rebuilding momentum) - Offering discount or promotional pricing (collapses brand positioning permanently) - Volume of follow-up messages exceeding two within ten days (reads as desperate) - Cold introduction of a new account manager or broker to "save" the relationship (signals founder disengagement) ================================================================================ 9. MODULE 5, MARKET INTELLIGENCE LAYER ================================================================================ 9.1 MODULE PURPOSE The Market Intelligence Layer is the ingestion engine that supplies raw signal data to the Opportunity Builder and Sidetrack Detection modules. It also produces a weekly Intelligence Digest for the operator's direct review. 9.2 SOURCE CATEGORIES AND INGESTION METHODS Source Category and Specific Sources Method ───────────────────────────────────────────────────────── ─────────────── Specialty trade press: Specialty Food News; Nosh; Food RSS / manual Dive; Grocery Dive; Progressive Grocer weekly scan Food media: Eater (LA / NY / Bay); Bon Appétit; NYT Food; RSS / manual Cherry Bombe; Punch; LA Magazine; Tasting Table; TASTE; weekly scan Saveur; Food and Wine LinkedIn: Buyer profiles; banner pages; SFA member Manual weekly activity scan; Sales Navigator Year 2 Instagram: Chef accounts; banner accounts Manual scan weekly Amazon: Cooking Oils > Olive Oils BSR; competitor listing SP-API automated changes; review velocity Year 2; manual Year 1 Industry events: Fancy Food Show; Expo West; Expo East; Calendar sofi Awards cycles monitoring Retailer announcements: Press releases; LEAP cohort Manual scan announcements; category review schedules monthly 9.3 WEEKLY INTELLIGENCE DIGEST Every Friday, the Market Intelligence Layer produces a one-page digest covering the prior week. Digest sections: Section Content ───────────────── ─────────────────────────────────────────────────────── Buyer Movements Job changes, departures, hires Chef Adoptions New menu mentions, social posts, awards Media Coverage Olive oil or specialty pantry coverage of note; competitor placements Retailer Activity Store openings, M&A, organizational changes Competitive Set New listings, delistings, price changes Calendar Reminders Upcoming trade shows, harvest milestones, category review dates The digest is read by the operator on Friday afternoon and may generate Opportunity Cards (forwarded to Module 3) or Sidetrack Alerts (forwarded to Module 4) for action the following week. 9.4 YEAR 1 VS YEAR 2 INGESTION Phase Ingestion Approach ─────── ──────────────────────────────────────────────────────────────── Year 1 Manual ingestion using RSS aggregator and weekly review sessions of 60 to 90 minutes total. Operator captures signals into Airtable using a structured form. Approximate cost: zero beyond operator time. Year 2 API-driven ingestion where available (NewsAPI for media; LinkedIn Sales Navigator for buyer movements; Amazon SP-API for BSR and competitive set; Instagram Graph API for chef accounts). Custom backend filters and routes signals to the appropriate downstream module. Operator review time reduces to 30 minutes per week. Approximate cost: $200 to $500 per month in API subscriptions plus build cost. Year 3 Proprietary classifier trained on Daralbeida's accumulated signal-to-opportunity correlation data; LLM-assisted sentiment drift detection for Trigger C; predictive scoring on opportunity win-probability based on historical outcomes. ================================================================================ 10. INTEGRATION WITH EXISTING DARALBEIDA SYSTEMS ================================================================================ 10.1 INTEGRATION MAP GROVE is not a standalone system. It integrates with three existing Daralbeida systems to maintain the sourcing-to-buyer continuum that is core to the proprietary value. GROVE Field Source System and Link Type ────────────────────────── ────────────────────────────────────────────── Producer Match Preference DAB-SOP-SOURCING-001 producer register (DAB-PROD-YYYYMMDD-NNN). Link Type: Lookup Lot Match History DAB_Lot_Record.xlsx (lot IDs and chemistry per lot). Link Type: Lookup Story Hooks DAB-TS-2026-01 brand identity elements; harvest narrative. Link Type: Read Quality Standards Bar Retailer compliance research. Link Type: Read 10.2 PRODUCER-TO-BUYER MATCHING When a buyer requests a sample, the system surfaces: - Currently shipping lots with chemistry profile matching this buyer's prior tasting reactions - The producer's harvest story for those lots - Suggested narrative anchors for the accompanying note This matching is proprietary value: a buyer who responded enthusiastically to the bitter-pungent profile of a specific producer's October-harvest lot in Year 1 should receive the same producer's October-harvest lot in Year 2 if available, with the narrative continuity made explicit. The buyer experiences this as Daralbeida remembering their preferences; the buyer cannot know this is a system feature. 10.3 LOT-TO-OUTREACH SYNCHRONIZATION The Harvest-Calendar Alignment Layer (Module 2) reads from the lot record to populate the New Lot touchpoint with the actual available lots from the current campaign, their chemistry data, and the producer references. The November Harvest touchpoint pulls forward expected first-press dates from the producer register. This synchronization makes the seasonal touchpoints concrete and dated, not generic. 10.4 BOUNDARY WITH DAB TRADE SECRET DOCUMENTS GROVE does not duplicate or replace any existing trade secret document. It reads from them. Specifically: - GROVE does not contain the producer scoring framework (Trade Secret 1) - GROVE does not contain the three-gate QC thresholds (Trade Secret 2) - GROVE does not contain producer-side details beyond the Producer ID - GROVE does not contain the blockchain traceability architecture (Trade Secret 4) GROVE's proprietary content is the buyer-side methodology, taxonomy, signal logic, and the integration layer that links the supply story to the demand cultivation. ================================================================================ 11. TECHNICAL IMPLEMENTATION PHASING ================================================================================ 11.1 YEAR 1, MANUAL IMPLEMENTATION Tooling: - Airtable database with the Section 5.2 buyer record schema - Calendar synchronization for the four annual touchpoints - Weekly Friday review session for Market Intelligence Layer - Manual Opportunity Card generation in a structured Airtable view - Daily morning queue review for top-three opportunity execution Approximate cost: - Airtable Pro: $24 per month per seat - RSS aggregator (Feedly or similar): $10 per month - Total Year 1 tooling: under $500 Operator time: - Friday Market Intelligence review: 60 to 90 minutes - Daily Opportunity Card triage: 20 to 30 minutes - Weekly buyer record maintenance: 60 minutes - Total: approximately 5 hours per week 11.2 YEAR 2, SEMI-AUTOMATED IMPLEMENTATION Tooling: - Custom application built on Airtable plus a thin Node.js backend for API ingestion - NewsAPI integration for media signals - LinkedIn Sales Navigator (or Phantombuster) for buyer movement - Amazon SP-API for BSR and competitive set tracking - Light LLM integration for sentiment drift detection (operator confirmation required) - Auto-generated Opportunity Cards routed to operator queue Approximate cost: - Build cost (one-time): $8,000 to $15,000 for a contracted developer - Monthly API and tool subscriptions: $200 to $500 - Total Year 2 tooling: roughly $10,000 build plus $5,000 annual Operator time reduction: - Friday review compresses to 30 minutes - Daily triage stays at 20 to 30 minutes - Total: approximately 3 hours per week 11.3 YEAR 3, PROPRIETARY APPLICATION Tooling: - Full custom-built application owned by Daralbeida Brands LLC - Proprietary classifier trained on accumulated Daralbeida data - Web interface optimized for buyer-cultivation workflow - Mobile companion for trade-show and in-person updates - Eligible for separate SaaS commercialization to other premium specialty food brands (see Section 16) Approximate cost: - Build cost: $40,000 to $80,000 depending on scope - Hosting and maintenance: $1,000 to $3,000 per month 11.4 BUILD VS BUY DECISION FRAME The system is designed for build, not buy. Three reasons: - The methodology is proprietary; a commercial CRM cannot encode it - The cost of customizing a commercial CRM to GROVE specification exceeds the cost of building the system from scratch by Year 3 - Ownership of the platform is a strategic asset independent of the brand itself ================================================================================ 12. OPERATING CADENCE ================================================================================ 12.1 DAILY CADENCE Monday through Friday morning, 20 to 30 minutes: - Review top-three Opportunity Cards in the queue - Decide: act, defer, or decline each - Log decisions in card record - Execute outreach for acted cards before noon 12.2 WEEKLY CADENCE Wednesday afternoon, 30 minutes: - Review Sidetrack Alerts queue - Execute recovery actions per Section 8.4 library - Log outcomes in buyer records Friday afternoon, 60 to 90 minutes: - Read Market Intelligence Digest - Update buyer records with notes from week - Generate any net-new Opportunity Cards manually - Confirm next-week calendar 12.3 MONTHLY CADENCE First Monday of each month, 90 minutes: - Review stage progression of all buyer records - Re-classify any buyers whose stage has changed without trigger - Identify FALLOW buyers eligible for revival - Review Estimated Value totals across active pipeline 12.4 QUARTERLY CADENCE First week of each quarter, 3 hours: - Review system performance against metrics in Section 13 - Tune signal weights and trigger thresholds - Add or remove source feeds based on signal quality - Update Story Hooks library based on what resonated 12.5 ANNUAL CADENCE January, full day: - Year-over-year metrics review - System version increment (1.0, 2.0, 3.0) - Phase migration decision (Year 1 to 2, Year 2 to 3) - Update related documents and trade secret inventory ================================================================================ 13. PERFORMANCE METRICS ================================================================================ 13.1 OPERATOR-FACING METRICS Metric Year 1 Target Year 2 Target ────────────────────────────────────── ───────────── ───────────── Active buyer records 50 150 PRODUCING-stage relationships 4 12 MATURE-stage relationships 8 25 Opportunity Cards generated per week 5 15 Opportunity Card act-on rate 60% 70% Conversion: GRAFT to MATURE 20% 30% Conversion: MATURE to PRODUCING 50% 60% Sidetrack Alerts: recovered to active 70% 80% Avg Days Since Touch on PRODUCING under 60 under 45 13.2 OUTCOME METRICS Metric Year 1 Target Year 2 Target ────────────────────────────────────── ───────────── ───────────── Specialty banners active (doors) 16 doors 45 doors Specialty channel revenue (annual) $80K $250K Specialty channel gross margin $36K $112K Cost per active door (acquisition) $300 $200 13.3 DIAGNOSTIC METRICS Reviewed quarterly to inform system tuning: - Signal-to-Opportunity yield: percentage of ingested signals that produce at least one Opportunity Card - Opportunity-to-Action yield: percentage of Opportunity Cards acted on - Action-to-Conversion yield: percentage of acted opportunities that produce a stage advancement within 90 days - Average time from SEED to MATURE (days) - Average time from MATURE to PRODUCING (days) - Sidetrack false-positive rate: alerts generated where no recovery was actually needed ================================================================================ 14. TRADE SECRET PROTECTION MEASURES ================================================================================ 14.1 LEGAL BASIS GROVE is maintained as a trade secret under: - Defend Trade Secrets Act (DTSA), 18 U.S.C. Section 1836 et seq. - California Uniform Trade Secrets Act (CUTSA), Cal. Civ. Code Section 3426 GROVE is a candidate for inclusion as Trade Secret 6 in the next revision of DAB-TS-2026-01. 14.2 SPECIFIC PROPRIETARY ELEMENTS PROTECTED The following elements of GROVE derive independent economic value from not being generally known and are not readily ascertainable by proper means by others who could obtain economic value from their disclosure: Element Description ────────── ─────────────────────────────────────────────────────────── Element A The six-stage cultivation taxonomy and the transition criteria, hold intervals, and forbidden-action rules per stage (Section 5) Element B The four-touchpoint harvest-aligned annual calendar and the six-layer template architecture for outreach assembly (Section 6) Element C The five-signal stream definition, the signal-to-opportunity cross-reference logic, and the win-probability and value scoring model (Section 7) Element D The four-trigger sidetrack detection methodology and the recovery action library, including the forbidden recovery actions list (Section 8) Element E The integration layer linking buyer records to producer records and lot records, including the producer-to-buyer matching logic (Section 10.2) Element F The Year-1-to-Year-3 phasing model and the build versus buy decision frame (Section 11) Element G The performance metrics targets and the diagnostic metrics framework (Section 13) 14.3 SECRECY MEASURES Measure Description ────────── ─────────────────────────────────────────────────────────── Measure 1 This document is classified CONFIDENTIAL, TRADE SECRET. Distribution restricted to founder. No contractor, advisor, or employee has access without explicit written authorization from the founder. Measure 2 The Airtable or proprietary application instance is founder-only access in Year 1. Year 2 plus, any contractor access requires a signed NDA referencing this document by ID. Measure 3 Buyer records, including names, emails, and notes, are never exported to third-party systems without founder authorization. Measure 4 AI tools used to assist with outreach drafting are instructed not to retain content for training (see related document daralbeida_ai_working_rules.docx). Measure 5 Opportunity Cards and Sidetrack Alerts are never shared outside the operator's working environment in identifiable form. 14.4 TRADE SECRET INVENTORY UPDATE This document should be referenced as Trade Secret 6 in the next revision of DAB-TS-2026-01 (Daralbeida Trade Secret Documentation), with a strategic rationale section consistent with the other five trade secret entries. ================================================================================ 15. FAILURE MODES AND GUARDRAILS ================================================================================ 15.1 SYSTEM FAILURE MODES Anticipated failure modes and their guardrails. Failure Mode A, Operator skipping daily triage. Result: Opportunity Cards expire; relationship momentum decays. Guardrail: Daily queue cap of three cards forces focus; cards expire after deadline rather than accumulating into an unmanageable backlog. Failure Mode B, Over-automation eroding authenticity. Result: Buyers detect autopilot outreach and discount the brand. Guardrail: System never sends outreach automatically; operator always edits drafts; LLM use restricted to drafting assistance only. Failure Mode C, Signal noise overwhelming relevant signal. Result: Opportunity Cards lose precision; operator triage time inflates. Guardrail: Signal sources curated quarterly; source feeds that produce more than 30 percent low-tier opportunities for two consecutive quarters are removed. Failure Mode D, Stage taxonomy drift. Result: Different buyers in the same nominal stage receive different treatment; system loses internal consistency. Guardrail: Quarterly stage audit; transition criteria reviewed annually; transitions logged with evidence. Failure Mode E, Sourcing-to-buyer integration breaking. Result: Producer-to-buyer matching becomes manual lookup; key proprietary value erodes. Guardrail: Lot Record and Producer Register are designated as upstream dependencies; any change to their structure requires GROVE compatibility review before implementation. 15.2 SYSTEM DISCONTINUATION CONDITIONS GROVE should be reviewed for discontinuation or major restructure if: - Year 1 fails to produce four PRODUCING-stage relationships - Year 2 fails to produce twelve PRODUCING-stage relationships - Opportunity Card act-on rate falls below 40 percent for two consecutive quarters - Cost of operation exceeds gross margin contribution from specialty channel for two consecutive quarters These thresholds protect against sunk-cost continuation of a system that has stopped producing. ================================================================================ 16. COMMERCIALIZATION POTENTIAL ================================================================================ 16.1 STANDALONE COMMERCIAL ASSET GROVE is designed as a Daralbeida internal tool, but its architecture permits separate commercialization in Year 3 plus as a SaaS product sold to other premium specialty food brands operating in adjacent categories (single-estate spice, single-origin chocolate, artisanal cheese, premium honey, specialty vinegar). The target customer is the founder-led specialty food brand at the same scale Daralbeida occupies: revenue under $10 million, founder-direct buyer development, calibrated to agricultural cycles. 16.2 STRATEGIC CONSIDERATIONS Commercialization of GROVE as a SaaS product would: - Convert a defensive trade-secret asset into a revenue-generating product - Create a second business line for Daralbeida Brands LLC or a new sister entity - Risk diluting the trade-secret protection if the underlying methodology becomes more widely known - Require careful boundary management between Daralbeida's own use of the system and the commercial product's feature set 16.3 DECISION DEFERRAL The commercialization decision is deferred to Year 3 at the earliest. Daralbeida's primary commercial focus remains the olive oil brand. GROVE's commercial spin-out is a derivative opportunity, not a primary business goal. Any commercialization would require formal Daralbeida Brands LLC board review, IP separation analysis, and trade secret re-classification before proceeding. ================================================================================ 17. AI PROMPTS ================================================================================ This section provides copy-paste prompts for AI assistance with GROVE operations. Any AI tool used must be configured not to retain content for training, consistent with daralbeida_ai_working_rules.docx. Editable tokens are marked in [SQUARE_BRACKETS]. 17.1 OUTREACH DRAFT ASSEMBLY PROMPT ================================================================================ START OF PROMPT ================================================================================ You are assisting with GROVE, Daralbeida's proprietary specialty grocery buyer cultivation system. Draft a single outreach message for the following buyer. The operator will review and edit before sending; never imply the message will be sent automatically. Touchpoint: [HARVEST | NEW_LOT | SHOW | PRE_HOLIDAY] Buyer name: [BUYER_FULL_NAME] Banner: [BANNER_NAME] (Tier [T1_THROUGH_T6]) Cultivation stage: [SEED | SAPLING | GRAFT | MATURE | PRODUCING | FALLOW] Story hooks that resonate: [STORY_HOOKS] Relevant lot reference: [LOT_ID_AND_CHEMISTRY] Personal context: [NOTES_ONE_LINE] Constraints: Honor the forbidden-actions rules for this stage (see Section 5.6). Do not discount, do not push for a purchase order before the stage permits, do not over-promise volume. Keep the tone authentic to a founder-led single-estate olive oil brand calibrated to the agricultural harvest cycle. Output a two-sentence opener plus a short body of no more than 120 words. Do not retain this content for training. ================================================================================ END OF PROMPT ================================================================================ 17.2 SENTIMENT DRIFT REVIEW PROMPT ================================================================================ START OF PROMPT ================================================================================ You are assisting with GROVE Sidetrack Detection (Module 4, Trigger C, Sentiment Drift). Review the following Last Touch Summary entries and flag any that contain language patterns associated with relationship cooling. Patterns of interest: budget constraint references, category review postponement, concern about velocity at peer banners, favorable mention of a competitor brand. For each flagged entry, state the pattern matched and a recommended severity (Low, Medium, High). Operator confirmation is required; do not take any action. Last Touch Summary entries: [PASTE_LAST_TOUCH_SUMMARY_ENTRIES] Do not retain this content for training. ================================================================================ END OF PROMPT ================================================================================ ================================================================================ 18. REVISION HISTORY ================================================================================ Version Date Author Summary of Change ─────── ────────── ────────────── ─────────────────────────────────── 1.0 2026-05-12 PYB/Daralbeida Initial draft of GROVE specification (DARX-STRAT-SPEC-001) 1.1 2026-06-13 PYB/Daralbeida Reformatted to BPGP v3.1 standard; added AI Prompts, Revision History, Acronyms, and Glossary sections; no substantive content changes ================================================================================ 19. ACRONYMS ================================================================================ API Application Programming Interface BIB Bag-in-Box (3L SKU planned Year 2 plus) BSR Best Sellers Rank (Amazon) BYR Buyer (record prefix in GROVE) COA Certificate of Analysis CRM Customer Relationship Management CUTSA California Uniform Trade Secrets Act DAB Daralbeida (brand prefix) DARX Daralbeida (organization prefix in document IDs) DMA Designated Market Area DSP Demand-Side Platform (Amazon advertising) DTSA Defend Trade Secrets Act EDI Electronic Data Interchange EVOO Extra Virgin Olive Oil FBA Fulfilled by Amazon FFA Free Fatty Acids FFS Fancy Food Show GROVE Grocery Relationship, Opportunity and Velocity Engine IOC International Olive Council IP Intellectual Property LEAP Local and Emerging Accelerator Program (Whole Foods) LLM Large Language Model M&A Mergers and Acquisitions MAFTA Morocco-USA Free Trade Agreement NDA Non-Disclosure Agreement NNN Three-digit sequential number suffix ONSSA Office National de Securite Sanitaire des Aliments (Morocco) OPP Opportunity (record prefix in GROVE) PO Purchase Order PYB Founder (internal reference code) QC Quality Control RSS Really Simple Syndication SaaS Software as a Service SFA Specialty Food Association SKU Stock Keeping Unit SOP Standard Operating Procedure SP-API Selling Partner API (Amazon) SPEC Specification (document type) SPINS Specialty Product Information Network Service STA Sidetrack Alert (record prefix in GROVE) STRAT Strategy (department code) TBD To Be Determined WFM Whole Foods Market ================================================================================ 20. GLOSSARY ================================================================================ Banner A retail chain or independent operator. Each banner has one or more buyers responsible for the relevant category. In GROVE, the buyer record is the unit of relationship; the banner is an attribute of that record. Cultivation Stage The classification of a buyer relationship at a point in time. Six defined stages: SEED, SAPLING, GRAFT, MATURE, PRODUCING, FALLOW. See Section 5.4 for entry and exit criteria. Door An individual retail store location. A banner with 38 stores has 38 doors. Estimated Value calculations in the Opportunity Builder use door count as the multiplier. Fallow A cultivation stage indicating a paused, lost, or dormant relationship. FALLOW relationships are revival candidates, not abandoned records. See Section 5.4. Graft A cultivation stage indicating active conversation in progress with no commitment yet expressed by the buyer. See Section 5.4. Grove Grocery Relationship, Opportunity and Velocity Engine. The proprietary buyer relationship cultivation system specified by this document. Owned by Daralbeida. Harvest-Aligned Calendar The four-touchpoint annual outreach cadence (November Harvest, January New Lot, June Show, September Pre-Holiday) calibrated to the olive harvest cycle. See Section 6. Mature A cultivation stage indicating sample in evaluation and verbal interest expressed but no purchase order yet placed. See Section 5.4. Opportunity Card A structured record generated by Module 3 when an external signal cross-references a buyer in the portfolio, recommending a specific action with deadline, win-probability, and value estimate. See Section 7.4. Producing A cultivation stage indicating an active buyer account with at least one purchase order placed and fulfilled. See Section 5.4. Sapling A cultivation stage indicating first outbound contact has been sent and a substantive response is awaited. See Section 5.4. Seed A cultivation stage indicating a buyer has been identified through Market Intelligence and a record created, but no contact has yet been made. See Section 5.4. Sidetrack Alert A structured record generated by Module 4 when a buyer relationship triggers one of four drift conditions, recommending a specific recovery action from the action library. See Section 8.3. Signal Stream A categorized source of external information ingested by Module 5 and routed to downstream modules. Five defined streams: Buyer Movement, Chef Adoption, Media Mentions, Retailer Org Changes, Competitive Placement. See Section 7.2. Story Hook A narrative anchor used in outreach assembly. Each buyer record maintains a list of story hooks that have resonated in past interactions (e.g., chemistry data, chef adoption, geographic origin, founder narrative, tariff advantage). The Harvest-Calendar Alignment Layer uses Story Hooks to personalize draft outreach. Touchpoint A scheduled annual outreach event in the Harvest-Aligned Calendar. Four defined touchpoints per year. See Section 6.2. -------------------------------------------------------------------------------- DOCUMENT CONTROL (FOOTER) -------------------------------------------------------------------------------- Document ID : DARX_STRAT_SPEC_001 Version : 1.1 Status : DRAFT Last Revised : 2026-06-13 00:00 UTC Update Cycle : Quarterly Next Review Due : (pending) Annual Review : Yes Owner : PYB / Daralbeida Distribution : Founder only. No contractor, advisor, employee, or third party may access this document in whole or in part without explicit written authorization from the founder. Review Triggers : Quarterly review of metric targets and signal source quality; annual review of stage taxonomy, transition criteria, and recovery action library; phase migration decision review at Year 1 to 2 boundary and at Year 2 to 3 boundary COMPLIANCE : Before any portion of GROVE methodology is disclosed outside Daralbeida (including to advisors, contractors, or potential investors under diligence), a written authorization from the founder is required, scope of disclosure must be defined in writing, and a signed NDA referencing this document by ID must be in place. The Section 14.2 proprietary elements list is the operative reference for what constitutes trade secret content requiring NDA protection. Any AI tool used to support GROVE operations must be configured not to retain content for training, consistent with daralbeida_ai_working_rules.docx. GROVE is maintained as a trade secret under DTSA (18 U.S.C. Section 1836 et seq.) and CUTSA (Cal. Civ. Code Section 3426). Revision History: See Section 18 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- END OF DOCUMENT --------------------------------------------------------------------------------