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    "topic": "The CE Brand Pipeline — living spec. Product definition, architecture, build plan, open decisions. Source of truth for everything we're building."
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      "content": "# \uD83D\uDCCC CE BRAND PIPELINE — LIVING SPEC\n**Last updated: 2026-03-24 | Status: Definition phase**\n\nThis channel is the source of truth for everything we're building. Update it when decisions are made. Check it before starting any build work.\n\n---\n\n## WHAT THIS IS\nA **human-in-the-loop brand production suite**. It reduces the human time required to produce a complete, CE-quality brand from weeks of work to **6 structured decision moments totalling under 2 hours**. The human is not patching a broken system — they are the taste layer, positioned at the moments where taste genuinely belongs. The system handles everything else.\n\n## WHAT THIS IS NOT\n- Not an autonomous brand generator (AI doesn't have taste, and we're not pretending it does)\n- Not a replacement for CE's creative judgment — it compresses the time that judgment requires\n- Not a product someone else can run without Assaf yet (that's Phase 4, conditional on calibration data)\n\n## THE HONEST CEILING\n> \"This doesn't give AI taste. It gives AI a model of CE's taste, trained on real decisions over time.\"",
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      "content": "Everything we build should be consistent with that sentence.",
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      "content": "## THE 8 TOOLS + 6 HUMAN TOUCHPOINTS\n\nThe pipeline runs autonomously between touchpoints. Humans appear at 6 designed moments — with the right information, for minimum time, making the decisions only they can make.\n\n```\nTOOL                   RUNS AUTONOMOUSLY              HUMAN TOUCHPOINT\n────────────────────────────────────────────────────────────────────────\n01. Brief Enricher  →  research + gap-fill         →  T1: Review enriched brief\n02. Research Engine →  market / comp / audience    →  (feeds T1, no extra gate)\n03. Strategy Maker  →  3 positioning options       →  T2: Pick one + say why\n04. Territory Finder→  3 visual directions         →  T3: Pick one + say why\n05. Style Forge     →  style guide + JSON          →  T4: Approve or adjust\n06. Asset Generator →  image batches               →  T5: Select the cuts\n07. Deck Builder    →  Google Slides deck          →  T6: Review narrative flow\n08. Page + Social   →  web page + posts            →  T6: Review before publish\n```",
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      "content": "**Time at each touchpoint:** 10-15 min max\n**Total human time per brand:** under 2 hours\n**Total elapsed time:** 3-4 days (autonomous work runs between touchpoints)\n\n---\n\n### TOOL 01 — Brief Enricher\n- **Input:** anything — even one sentence\n- **Does:** fills gaps through research. Sector context, category norms, competitors, audience signals\n- **T1:** Read enrichment. Correct what's wrong. Add what research couldn't know (internal constraints, relationships, fears). 10 min.\n- **Output:** validated brief that feeds all downstream tools\n\n### TOOL 02 — Research Engine *(runs inside Tool 01)*\n- Julia runs market/competitive/audience research\n- Output populates the brief automatically — no separate human stop\n\n### TOOL 03 — Strategy Maker",
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      "content": "- **Input:** enriched brief\n- **Does:** produces 3 positioning directions. Each: named angle + 3 reasons viable + what it rules out\n- **T2:** Read 3 options. Pick one. Write one sentence about why. Sentence is logged.\n- **Why 3:** not good vs. bad — 3 defensible directions. Human taste determines which is most CE.\n- **Output:** positioning.json — chosen angle, rationale, constraints locked\n\n### TOOL 04 — Territory Finder\n- **Input:** positioning.json + taste board query\n- **Does:** queries the signal library for what's emerging in this category. Produces 3 named visual territories — each with: typography pair, color temperature, photography style, 3 real brand references, rationale\n- **T3:** Sees 3 territories as visual cards (not text). Picks one. Can flag elements from others to carry over. Writes one sentence.\n- **⚠️ THIS IS THE TASTE GATE.** Everything downstream follows from this pick.\n- **Output:** visual-direction.json — chosen territory locked with reference images\n\n### TOOL 05 — Style Forge\n- **Input:** visual-direction.json\n- **Does:** produces VISUAL-STYLE.md + visual-style.json + Gemini prompt framework. Scores itself against 3 taste board references before human sees it.\n- **T4:** Review style guide against references. One correction maximum. Not a full revision.",
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      "content": "- **Output:** visual-style.json (locked) — feeds all downstream tools\n\n### TOOL 06 — Asset Generator\n- **Input:** visual-style.json\n- **Does:** generates image batches. Vision model runs criteria-check (technical compliance) before human sees any image. Removes failures.\n- **T5:** Selection pass. Human sees only the batch that cleared QA. Picks 3-5 per use case.\n- **Output:** asset-library/ — curated image set, tagged by use case\n\n### TOOL 07 — Deck Builder\n- **Input:** positioning + style guide + asset library\n- **Does:** builds Google Slides deck. CE design system applied automatically. Copy written from positioning doc.\n- **T6 (combined with Tool 08):** Review deck + page + social in one pass. Final review before delivery.\n- **Output:** complete deliverable set",
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      "content": "THE SHARED DATA MODEL\n\nEverything flows through one evolving object: the **Brand Brief**. Starts sparse, gets richer at every stage. Each tool reads from it and writes back to it.\n\n```\nbrand-brief/\n  ├── intake/           ← what the client provided\n  ├── enriched/         ← what research added\n  ├── positioning/      ← chosen strategic direction + rationale\n  ├── visual-direction/ ← chosen design territory + rationale\n  ├── style-guide/      ← visual-style.json (locked)\n  ├── asset-library/    ← curated image set\n  ├── deliverables/     ← deck, page, social\n  └── decisions/        ← log of every human choice + context ← CALIBRATION CORPUS\n```\nThe `decisions/` folder is how the system learns over time. Every gate decision logs: what were the options, what was chosen, what rationale was given. After 10-15 runs, patterns emerge and options start pre-ranking toward what CE historically selects.",
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      "content": "───\n\nTHE TASTE LAYER\n\nTaste isn't replaced. It's compressed. Each touchpoint is designed to require the minimum decision for maximum downstream accuracy.\n\n```\n| What taste does                 | Where | Tool                                        |\n| ------------------------------- | ----- | ------------------------------------------- |\n| \"This positioning is more CE\"   | T2    | Strategy Maker — 3 options side by side     |\n| \"This visual world is right\"    | T3    | Territory Finder — visual cards, not text   |\n| \"These criteria need adjusting\" | T4    | Style Forge — one correction, not a rebuild |\n| \"This image is CE / this isn't\" | T5    | Asset Generator — selection interface       |\n```\n───\n\nTHE TASTE BOARD AS INFRASTRUCTURE",
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      "content": "Not a mood board. A **reference signal database** that Tool 04 queries.\n\nEach entry tagged with:\n\n• **category** — what sector (food, fintech, personal brand, etc.)\n• **timing** — emerging / at peak / declining\n• **design_signals** — color temperature, typography weight, photography style, mood\n• **ce_resonance** — high / medium / low (requires human taste to maintain — intentional)\n• **notes** — what Assaf saw in it\n\nWhen Tool 04 runs for a food brand: queries `category: food AND timing: emerging AND ce_resonance: high`. Territories generated are grounded in what CE actually finds interesting now.\n\n**The CE resonance field stays human.** Assaf curates the board. That curation IS the taste input. The system amplifies it.\n\n───\n\nTHE EYES WORKAROUND (Vision QA)",
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      "content": "AI is blind by default but not by necessity. At Stage 5 (Asset Generator), vision model evaluates images against explicit style guide criteria before human sees them.\n\nInstead of \"does this look good?\" → \"does this image exhibit [specific characteristics from the style guide]?\"\n\n• Warm golden light present? ✓/✗\n• Dark shadows visible? ✓/✗\n• Texture detail sharp? ✓/✗\n\nScore = % of criteria met. Below threshold → loop back to generation with specific critique. Human only sees images that cleared technical QA.\n\n**This is a floor, not a ceiling.** It removes garbage. Taste still lives at the gate.",
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      "content": "BUILD PLAN\n\nPHASE 0 — Design the foundations _(before any code, ~1 week)_\n\nDesign sessions only. No building until these are done.\n\n• [ ] **Design visual-style.json schema** — the connective tissue between Stage 3, 4, 5, 7, 8. Validate against Phat (real example). This comes before everything else.\n• [ ] **Design taste board tagging schema** — define the controlled vocabulary for all tag fields\n• [ ] **Map one signal-to-decision chain forensically** — take Phat, reconstruct: what was the actual input signal → what was the actual design decision → what was the inferential step between them. Write it down explicitly. If the step can be made explicit, the framework is real.\n• [ ] **Write the \"good brief\" definition** — what makes a brief good vs. merely complete. This informs Tool 01.\n\n**Gate:** Don't start Phase 1 until all four Phase 0 artifacts exist.\n\n───\n\nSPRINT 1 — Harden the connective tissue _(2-3 weeks)_",
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      "content": "• [ ] Build visual-style.json into the pipeline (Stage 4→5→7→8)\n• [ ] Write visual-territories SKILL.md (Stage 3 as a proper skill, from Phat pattern)\n• [ ] Implement taste board tagging on existing candidates (50 entries minimum)\n• [ ] Build Stage 0 brief intake — completeness + quality check\n• [ ] **Test: semi-cold brief** (real category, minimal CE history — NOT Mission). Log every gate decision.\n\n**Success:** One complete run, no broken handoffs, outputs coherent with each other.\n\n───\n\nSPRINT 2 — The quality layer _(3 weeks)_\n\n• [ ] Build signal-to-decision framework as a skill (from Phase 0 forensic work)\n• [ ] Implement vision model QA at Stage 5 (criteria-based pre-filter)\n• [ ] Build decision capture protocol — every T2, T3, T4, T5 logged with context\n• [ ] Stage 4 style guide gate — scored against taste board references\n• [ ] **Test: second semi-cold brief**. After run: Assaf + Anton both score outputs at each gate. Document where they agree/diverge. This is the calibration.",
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      "content": "**Success:** Assaf reviews at 6 touchpoints. Anton handles quality between them. No silent drift.\n\n───\n\nSPRINT 3 — Full pipeline, hardened _(2 weeks)_\n\n• [ ] Tool 07: Deck Builder (harden from Phat scripts — reusable, not one-off)\n• [ ] Tool 08: Page + Social connected through visual-style.json\n• [ ] Make taste board live — automated signal ingestion from trend-scouting\n• [ ] Full end-to-end test: cold brief, full pipeline, all 6 touchpoints\n• [ ] Calibration review: how close is Anton to Assaf after 3 runs?\n\n───\n\nPHASE 4 — Productize _(after Sprint 3 stable — conditional)_\n\n• [ ] Brief intake UI (client-facing form)",
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      "content": "• [ ] Progress dashboard (where in the pipeline, what needs human input)\n• [ ] Deliverable packaging (standard output set per run)\n• [ ] Pricing/packaging model\n• [ ] **Gate:** \"Quality without Assaf\" only viable once decision corpus is validated — minimum 10 full runs with calibration data showing Anton scores correlate with Assaf's at a meaningful rate. Do not promise this to clients before that gate.\n\n───\n\nOPEN DECISIONS (update as resolved)\n\n```\n| # | Decision                                            | Status | Owner   |\n| --- | --------------------------------------------------- | ------ | ------- |\n| 1 | What does a \"good brief\" look like vs. complete?    | ⬜ OPEN | Phase 0 |\n| 2 | visual-style.json schema fields                     | ⬜ OPEN | Phase 0 |\n| 3 | Taste board tagging vocabulary (controlled fields)  | ⬜ OPEN | Phase 0 |\n| 4 | Which semi-cold brief to use for Sprint 1 test?     | ⬜ OPEN | Assaf   |\n```",
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      "content": "```\n| 5 | What's the Phase 4 product price point / packaging? | ⬜ OPEN | Later   |\n| 6 | Who operates this besides Assaf?                    | ⬜ OPEN | Later   |\n```\n───\n\nCONTEXT LOG\n\n_(Append decisions and key moments here as we build)_\n\n**2026-03-24** — Product definition session complete. Three rounds of Anton critique. Decisions made:\n\n• This is a human-in-the-loop product, not autonomous\n• Minimal intervention = time saved + decision optimization\n• Quality ownership = Assaf for now, with calibration path toward Phase 4\n• Taste board is the reference signal infrastructure, not a mood board\n• Phase 4 is conditional on calibration data — not promised",
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      "content": "## \uD83E\uDDF5 PHASE 0 — Design the Foundations\n**Status: ACTIVE | Gate: don't start Sprint 1 until all 4 artifacts exist**\n\nPhase 0 is design-only. No code. No building. We're designing the schemas and frameworks that everything else is built on. Get these wrong and we rebuild everything downstream.\n\n**The 4 deliverables:**\nA. visual-style.json schema — connective tissue between Tools 4→5→6→7→8\nB. Taste board tagging schema — controlled vocabulary for the signal library\nC. Phat signal-to-decision forensic map — prove the framework has real content\nD. \"Good brief\" definition — what makes a brief good vs. merely complete\n\nStarting with A. Reply in thread.",
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