Mental models, operating principles, and repeatable AI practices
421 public assets · 105 editorially checked assets
Updated: 2026-10-24T17:03:20.185066+00:00
A four-step progression that turns raw notes, pasted listings and safety sheets into reviewable briefs where observed facts, single-source claims, and human judgment are kept apart. Each step states what the prompt can and cannot do and ends with pass/fail checks you run yourself.
4 collection members
Updated: 2026-10-06T17:16:28.854199+00:00
A curated progression of four copy-paste prompts that transform unstructured text into auditable tables, strictly separating observation from interpretation and marking missing data explicitly.
4 collection members
Updated: 2026-10-10T10:16:19.695876+00:00
A four-step progression of copy-paste prompts that turn messy notes, listings, safety sheets and pantry lists into auditable tables. It strictly separates observation from interpretation, flags missing data, and forbids the assistant from acting or inventing facts.
4 collection members
Updated: 2026-10-19T00:16:38.961168+00:00
A four-step progression of reusable prompts that turn raw notes, listings, safety sheets, and pantry lists into structured, reviewable drafts. It strictly separates observation from interpretation, flags missing data explicitly, and forbids the assistant from acting or inventing facts.
4 collection members
Updated: 2026-10-19T16:16:55.872964+00:00
A four-step progression that transforms raw notes, listings, safety sheets, and pantry lists into auditable tables. It strictly separates observation from interpretation, flags missing data explicitly, and forbids the assistant from acting or inventing facts.
4 collection members
Updated: 2026-10-23T00:36:17.425377+00:00
A four-step progression that transforms raw notes, listings, safety sheets, and pantry lists into auditable tables. It strictly separates observation from interpretation, flags missing data explicitly, and forbids the assistant from acting or inventing facts.
4 collection members
Updated: 2026-10-23T17:16:23.921808+00:00
Ten picks for the dev building plan-then-execute agents (ReAct, ReWOO, Plan-and-Solve): planning frameworks, task decomposition, persistent plans, world-model agents, and the eval harness that proves your plan was actually better.
10 collection members
Updated: 2026-06-30T19:00:02+00:00
DeepEval, Promptfoo, Ragas, Opik, Guardrails AI — score every prompt change before it ships and catch regressions early.
5 collection members
Updated: 2026-06-30T19:00:02+00:00
Six GitHub-verified building blocks to ship safer agents: CI-grade eval harnesses, a GitHub Action gate, curated Cursor rules, and rule generation to keep guidance fresh.
6 collection members
Updated: 2026-05-11T23:08:06+00:00