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Essai 01 coverage

All 32 use cases have a substantive first version in one flat collection. This completes Essai 01 under Lawrence’s stated criterion, not every use case’s full ambition or its empirical validation. No live model, authenticated collaboration or closed-browser notification service is connected.

ID	First version	Current mode	Wider ambition or limit
1.1	Which account applies?	Local retrieval and register	Live evidence-grounded AI retrieval and answers over a real, maintained corpus remain open.
1.2	Whose outcome?	Local relationship model	The weights are workshop judgements. Shared stewardship and evidence of useful decisions remain untested.
1.3	A connection has a kind	Local typed network	Real evidence stewardship, attribution and usefulness remain untested; a plotted position is not influence.
1.4	The constraint moves	Local numerical model	The resource budgets and coefficients are invented. This is neither an executable timetable nor a validated investment appraisal.
2.1	A trial worth having	Local trial register	The records do not authenticate participation or establish that an adoption choice is worthwhile.
2.2	A signal worth seeing	Local calculated signals	The signal definitions and thresholds are local assumptions; useful warning performance remains unmeasured.
2.3	Small enough to agree	Local workspace and recorded proposals	Live AI co-creation, authenticated simultaneous collaboration and trusted attribution remain open.
2.4	Keep the recipe	Local workbench and recorded/imported outputs	In-app live AI execution and independent evidence of reliable prompt reuse remain open.
3.1	What applies here?	Local rule-based tailoring	The rule vocabulary is small and invented. Real framework coverage and evidence adequacy are not established.
3.2	A route that fits	Local options model	Scores express chosen priorities; the invented constraints are not an approved procurement or engineering framework.
3.3	A meeting with a decision	Local assembly and recorded AI example	Live AI drafting, prior-action feeds, circulation and measured preparation/checking savings remain open.
3.4	Checked in what sense?	Local evaluation of supplied outputs	This evaluates supplied outputs on specific cases. It cannot support a universal model ranking or authenticated independent review.
4.1	Useful elsewhere?	Local illustrative case library	The cases illustrate the evidence-handling method; they provide no empirical proof of infrastructure success factors.
4.2	Learn from the case	Local rule-based learning exercise	Live conversational coaching grounded in an approved archive and evidence of learning transfer remain open.
4.3	Ready on the first pass?	Local event-log analysis	Synthetic event logs cannot establish real estimation performance or explain the causes of delay.
4.4	The missing link	Local rule-backed suggestions	Authored rules expose some candidate dependencies; general AI discovery and complete scheduling remain open.
5.1	A gate with reasons	Local state machine	Evidence notes are assertions. A simulated status change confers no authority to work on infrastructure.
5.2	What is in the tables?	Local data profiling	Inferred types and candidate joins do not establish business meaning. Database connections are outside this local profiler.
5.3	Make retreat possible	Local experiment workflow	This is a bounded office-process exercise. Its fallback simulation is not an operational recovery plan.
5.4	What did the task list miss?	Local typed-vocabulary traversal	Typed traversal is not a complete industry ontology, a formal reasoner or a proof of scope completeness.
6.1	A draft is not a gate	Local assembly and recorded AI example	Live AI drafting and independently validated evidence review remain open. Approval stays outside this drafting tool; local review cannot advance a gate.
6.2	Try one office job	Local recipe practice and external handoff	The page cannot inspect or execute work in an office tenant. External execution needs the appropriate authorised integration.
6.3	Keep the disagreement	Local facilitated graph	Local facilitation and file exchange do not provide simultaneous collaboration or causal inference.
6.4	Remember before deciding	Local lesson retrieval and review	Live AI lesson review, authenticated team capture and closed-browser notifications remain open.
7.1	Find the story in the pattern	Local participant-rated landscape	Participant positions are explicit judgements, not psychological measurements or inferred dispositions.
7.2	The work of getting better	Local stock-flow simulation	The stock-flow coefficients and uplift are assumed. No real time saving, adoption or service improvement is established.
7.3	Practise on the artefact	Local editing and data exercise	Practice checks apply only to this exercise. Cross-application coaching and live contextual AI remain open.
7.4	What does that number mean?	Local metric/schema model	The schema exposes assumptions; an arrow does not perform an aggregation or establish causal influence.
8.1	Know now, act later?	Local sequential-policy simulation	Policies are supplied, not learned or proved optimal. The scenario is invented and cannot determine safe real-world action.
8.2	The shape of waiting	Local dated-record analysis	A duration is not a diagnosis; summed decision-days are not elapsed project time or decision quality.
8.3	Spend attention carefully	Local rules-based triage	Explicit rules do not provide validated NLP assurance. Severe-case recall, real review quality and human benefit remain untested.
8.4	The shared dependency	Local typed-path analysis	Typed paths suggest interactions to investigate; they are not probabilities or established causes.

The original private document and detailed method remain in the foray folder. All public sources and data are invented unless an app names a primary method/platform reference. The standalone Experiments site retains all previous routes. Main-site integration is outside this work.