GUIDES · INTERACTIVE LESSONS
Methodology in motion
A dozen standalone interactive lessons that explain Forgeplan methodology from the inside out: how decisions are scored, why R_eff equals min() not average, how a PRD becomes a Spec becomes a shipped feature, and how multiple AI agents stay out of each other's way.
Six tiers — from start to tool. Read in order or jump to the topic of current interest.
01 START
why & how
02 CONCEPTS
overviews
03 CYCLE & FORMAT
detailed
04 INTERACTIVE
3D & sliders
05 AGENTS
contracts & coordination
06 TOOL
one implementation
20 lessons
15 theory
4 interactive
~120 min total reading
Reading order
Built linearly — each lesson references concepts from the previous. Companion interactive pages (3D charts, calculators) follow their theory pairs.
- 00→What a decision log is and why a team needs oneLevel zero — no tool branding. What "decision log" means as an engineering practice (ADR, DDR formats), six mandatory fields of a record, who needs it, six use-cases across domains, and why this matters more in an AI-augmented workflow.
- 01→How to introduce decision-logging into your teamPractical companion to the intro. When to write a record and when to skip it (four rules). Depth scale. Typical day. Three ways an AI agent reads your context. Five agent–record interactions. Anti-patterns.
- 02→How to manage decision artifacts in a teamOverview between intro and detailed guides. What counts as an artifact (3 properties), one-file-one-responsibility rule, the rhythm of work, three signs of a live artifact, 5 anti-patterns. Links to formal cycle and lifecycle for depth.
- 03→ADI as a daily practice: three versions before fixingOverview of the "write three versions of the cause" technique as a daily habit. Origin in 19th-century medical diagnostics. When to apply, one-cycle walkthrough, why exactly three (statistical threshold). Links to the formal cycle.
- 04→What a good DDR looks like: template with full exampleOverview of the DDR format. DDR vs ADR comparison, six mandatory fields, full markdown example (JWT vs sessions vs OAuth). Why length matters (200–400 words, one screen). Links to the formal cycle and lifecycle.
- 05→FPF: the consistency mapSeven kernel nodes of FPF - holons, context, distinctions, decay, open/closed world, F-G-R trust, reasoning cycle. How they connect and why keeping them consistent matters.
- 06→Trust Calculus: F/G/R and its connection to DDRTrust Calculus in plain language: three axes (Formal / Granular / Reliable), weakest-link rule (not average), context-level penalty, the R_eff formula in one line, where F/G/R lives inside a DDR record. Bar chart for average-vs-min contrast. Links to the 3D interactive.
- 07→Evidence and decay: why proofs have a shelf lifeOverview of evidence types (own measurement, peer benchmark, vendor docs, third-party experience), three dimensions of strength (F/G/R brief recap), what happens to evidence over time (decay formula), revisit triggers by decay. Links to trust-calculus and lifecycle.
- 08→How decisions are made and evidence weightedADI reasoning (Abduction → Deduction → Induction), DDR field on every ADR, and the Trust Calculus framework. Why averaging trust is wrong and the weakest-link principle.
- 09→Trust Calculus in 3D F/G/R3D scene with seven evidence on a /search latency scenario. Plane of threshold F+G+R=12, hover cards, hypothesis selection by WLNK. Rotate the scene with mouse — projector-ready teaching artifact.
- 10→BMAD · 13-step PRD · Adversarial ReviewFour phases of the funnel (Brainstorming → Modeling → Architecting → Delivery), 13 PRD sections of which 3 are critical (Non-Goals, Risks, Open Questions), and adversarial review through fresh eyes as the third quality gate.
- 11→Spec · Delta · R_effSpec vs PRD: verifiable behavior, not intent. Delta format ADDED/MODIFIED/REMOVED as git diff for requirements. R_eff = min(scores) with Evidence Decay — why average deceives, minimum does not.
- 12→Lifecycle · from draft to terminalState machine with 5 states and 6 transitions: draft → active → {superseded | deprecated | stale} → renew/reopen. Passport-with-visa analogy. Stale as "forgotten state" requiring explicit decision.
- 13→FPF · First Principles Framework as the parent railSix base concepts (Bounded Context, Trust Calculus, F-G-R, ADI Cycle, Category Error, Gamma Algebra) + three usage modes (decompose / evaluate / reason). Shows how Trust Calculus and ADI are not separate ideas but built-in moves inside the same parent framework.
- 14→DAG Explorer · artifacts in 3DPlotly 3D scatter with artifact nodes and edge lines. Knowledge Vault MVP as a real example: 22 artifacts, 30 connections, type filters. Shows patterns (healthy chain / blindspot / orphan / branching) and traceability in one picture.
- 15→Depth Calibrator · routing in real-timeThree sliders (complexity / blast radius / reversibility) + three hard gates (public API / security / cross-team) → real-time depth tier + pipeline. Presets for typical scenarios (cosmetic / team feature / public API / auth rewrite). Move sliders to see the marker shift and artifact list change.
- 16→Hint Contract · 5 markersHow the agent stopped hallucinating next steps. Five markers (Next: / Or: / Wait: / Done. / Fix:) + five contract rules (Presence / Actionability / Determinism / Conditionality / Consistency). Reference card.
- 17→Multi-agent · dispatch · claim · releaseCoordinating 2-5 agents in one repo without conflicts. Planner cuts work into conflict-free buckets, worker takes one with TTL, release returns to pool. WIP=1 hard limit. Adversarial review always in a separate agent.
- 18→Forgeplan as the operational layerPOS for methodologies: CLI + MCP + .forgeplan/ absorbs FPF, BMAD, OpenSpec, QuintCode. 10 artifact types (6 actively used) with dependency DAG. Four depth levels and three quality gates in one validate.
- 19→First Artifact · 20-minute hands-on walkthroughStep-by-step simulated terminal: init → health → route → new prd → validate → reason (ADI) → build → new evidence → link + score → activate. Progress bar with clickable points, live workspace side-panel, common-error blocks at each step.
External documentation
Beyond these lessons: full Forgeplan reference.
forgeplan.dev · official docs Methodology Overview · 10 Rules · CLI Reference · MCP Reference · Marketplace
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