Sprint 1.5 prep: Leonard->Architect feedback, aiND 7-tier DNA doc, Issue 002 (PROPOSED)

- docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md: 4 resolutions (naming aiND vs Athena; T6
  practitioner-gate; T1 has no engine signal yet/actionability_score reserved; ingestion audit
  is mandatory for indispensable editions) + 2 risks (success metric is human-only; schema
  forward-compatible, no change in 1.5).
- docs/vision/AI_NEWS_DAILY_TIERS.md: 7-tier hierarchy + Builder-Outcome DNA + 4 editorial
  questions + T6 gate. LOCKED reference for edition curation.
- Issue_002.md: PROPOSED hand-curated edition from live 60-story window; T1-T5 + T6 gate;
  founder confirmation required before 'shipped'. ~11/60 cleared Editorial Test -> exposes
  ingestion-supply problem.

Sprint 1.5 = multiple hand editions; Lens/Memory/Narratives/KG deferred. No schema change.
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# AI News Daily — Story Tiers & Builder-Outcome DNA
**Publication:** aiND (see `AI_NEWS_DAILY_VISION_V2.md`)
**Status:** LOCKED 2026-07-15, part of Sprint 1.5 build plan
**Authority:** Story competition order. Higher tier wins when space is limited.
---
## The DNA: Builder Outcomes
We are not primarily interested in: announcements, predictions, funding, lawsuits, CEO opinions.
We are interested in: **what did somebody actually accomplish?**
Examples of Builder Outcomes:
- Saved money
- Saved time
- Built something useful
- Got customers
- Reduced token costs
- Increased throughput
- Shipped a product
- Solved a problem
---
## 7-Tier Hierarchy (competition order)
| Tier | Name | Examples | Coverage |
|------|------|----------|----------|
| **T1** | Builder Outcomes | "I reduced token spend 70%", "I replaced API costs with local models", "I automated my reporting", "I got my first paying customer" | Gold |
| **T2** | What Shipped Today | New OSS projects, agents, tools, releases | High |
| **T3** | Run It Locally | GGUF, Ollama, llama.cpp, VRAM discoveries, quantizations | High |
| **T4** | Benchmarks & Builds | GPU testing, throughput, home-lab experiments, HW optimization | Medium |
| **T5** | Problem Solved | Production lessons, cost reductions, workflow improvements | Medium |
| **T6** | Important Developments | Major model releases, API changes, significant platform changes | **Practitioner-gate only** |
| **T7** | Noise | Funding, lawsuits, CEO comments, valuations | Near-zero |
### T6 Practitioner Gate (mandatory)
A T6 item is included **only if** a practitioner can act on it: must migrate an API, can run the model locally, or it changes your stack. A model release with no reproducible substance drops to T7.
---
## The Four Editorial Questions
Every candidate story should answer:
1. **What happened?**
2. **What was shipped?**
3. **What useful thing did somebody accomplish?**
4. **What can the reader do with this?**
The strongest stories answer all four. T1 stories always answer 3 and 4.
---
## Engine Note (Athena)
T1 has **no engine signal yet** — the Sprint 1 scorer measures shipping/utility/replication/enthusiast/novelty, not accomplishment. `actionability_score` is reserved (currently 0) as the future home for T1 detection. Until Sprint 2+, T1 ranking is **human curation only**.
## Sprint 1.5 Scope
Produce multiple hand-curated editions (Issue 002+) from live data. No Lens, no Narratives, no Memory, no Knowledge Graph. Success metric is human: *"Would I miss today's edition if it didn't arrive?"* — not clicks, score, or rank.