Antoine HABERT (WEnvision, a French agentic AI consulting firm) published a methodology article on May 5, 2026 that formalizes PROJ-AI, a lightweight methodological layer so that collective projects become transferable rather than dying with their deliverable. The diagnosis: projects stop at their deliverable, leave no organizational memory, critical decisions become untraceable, onboarding a new member takes three weeks. Central aphorism: "The project is not a byproduct of the deliverable. The project IS the deliverable."
The methodology rests on a triad: (1) a version-controlled git repository as the single source of truth; (2) an AI agent (Claude Code, Cursor or equivalent) that reads the doctrine at every session; (3) a markdown doctrine specifying decision protocols and agent behaviors. The repo is organized into six zones: DOCS/ (raw inputs), IDEAS/ (hypotheses), DR/ (Decision Records scored across 7 dimensions), OUT/ (deliverables), DOCTRINE/ (governance), AGENT/ (slash-commands and session traces).
The operational DPEV cycle — Decide → Promise → Execute → Verify — articulates four traceable steps that turn vague ideas into defensible deliverables. A dual interface combines PROJ-AI Studio (Cockpit/Guide/Weekly/Monthly views for the business side) and CLI/IDE with slash-commands /dr-create, /livrable-update (for tech), on top of the same single repo. Five agent directives structure behavior: ingest the doctrine before answering, explicitly cite internal sources, propose Decision Records for emerging choices, never override doctrine, produce end-of-session summaries.
Across three active engagements (31 decisions recorded), HABERT documents: new-member onboarding 3 weeks → 2 days, structural decisions tracked 30% → 100%, architecture doc compilation 6 weeks → continuous, PM archaeology time 30% → negligible. The shared proj-ai-commons library capitalizes on anonymized patterns (DR templates, slash-commands, doctrine fragments) and lets a new project bootstrap in 30 minutes instead of a week.
Two honest caveats: (1) "technology 20%, team discipline 80%" — an explicit rejection of solutionism; (2) "agent-agnostic" — markdown supports multiple LLMs. Status: Studio in internal preview, methodology delivered as a guided engagement by the firm (not self-service).
This piece, converging with Wescale Usine Logicielle Augmentée (2026-05-03) and HABERT's previous fiche (2025-10-29), consolidates a French doctrine of AI industrialization. PROJ-AI transposes to project/consulting management the patterns of Skills (Vincent), Plugin Marketplace (Curran/Intercom), AGENTS.md (Anthropic, Vercel, Osmani) and Decision Records (Wescale). To be leveraged as an operational framework for consulting firms, CIOs, and project teams on 6-18 month engagements.