docs: add AI productivity research, trust calibration, and exploration workflow
## New Content ### Trust & Verification (ultimate-guide.md) - Section 1.7 "Trust Calibration: When and How Much to Verify" (~155 lines) - Research-backed stats (ACM, Veracode, CodeRabbit, Cortex.io) - Verification spectrum by code type - Solo vs Team strategies with workflow diagrams - "Prove It Works" checklist - New pitfall: "Trust AI output without proportional verification" - CLAUDE.md size guideline: 4-8KB optimal, >16K degrades coherence ### AI Productivity (learning-with-ai.md) - Section "The Reality of AI Productivity" (~55 lines) - Productivity curve phases (Wow Effect → Targeted Gains → Plateau) - High-gain vs low/negative-gain task categorization - Team success factors - Productivity trajectory table by pattern (Dependent/Avoidant/Augmented) - 5 new sources (GitHub, McKinsey, Stack Overflow, Uplevel, DORA) ### Session Limits (architecture.md) - "Session Degradation Limits" section - Turn limits (15-25), token thresholds (80-100K) - Success rates by scope (1-3 files: ~85%, 8+ files: ~40%) ### Exploration Workflow - NEW: guide/workflows/exploration-workflow.md - Anti-anchoring prompts, 3-5 approaches pattern - iterative-refinement.md: Script Generation Workflow (3-7 iteration pattern) - anchor-catalog.md: Anti-Anchoring Techniques, Exploration/Iteration Prompts ### Reference Updates - adoption-approaches.md: Empirical data section - reference.yaml: New deep_dive entries, updated line numbers Sources: MetalBear engineering blog, arXiv studies, Addy Osmani (Jan 2026) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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## See Also
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- [exploration-workflow.md](./exploration-workflow.md) — Explore alternatives before planning
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- [../ultimate-guide.md](../ultimate-guide.md) — Section 2.3 Plan Mode
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- [tdd-with-claude.md](./tdd-with-claude.md) — Combine with TDD
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- [spec-first.md](./spec-first.md) — Combine with Spec-First
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