Build Week 2026 · Four submitted experiments
AI may reason. Authority stays bounded.
EV1 Labs built four working systems around one design discipline: use GPT-5.6 where language and ambiguity matter, then make the decision boundary explicit, testable and visible.
Four operational failures worth making visible.
The projects are separate submissions, not four skins on one product. Their shared architecture is a deliberate answer to overconfident automation.
Release evidenceProofLatchSubmittedTurns a bounded release-evidence packet into BLOCKED or READY, then lets GPT-5.6 explain why.
Deterministic verdictInspect →
Agent operationsGateholdSubmittedCoordinates parallel coding agents, constrained machine lanes and cleanup before authority is reused.
Deterministic clearanceInspect →
SaaS portabilityExitCanarySubmittedPlants known CRM data in a trial, maps the export and checks what survived the exit.
Human-confirmed mappingInspect →
Human reachabilityAccessCrashSubmittedBuilds a source-linked process path and tests whether a capability-constrained person can finish.
Deterministic path testInspect →Interpret, confirm, decide, re-run.
The exact sequence differs by product, but the authority never hides inside a paragraph generated by the model.
- 01 · BoundConstrain the input.
Use a strict evidence packet, synthetic fixture or owned local state rather than an open-ended prompt.
- 02 · ReasonGive the model one job.
Explain, map, compile or identify semantic overlap under a structured contract.
- 03 · DecideKeep authority explicit.
Deterministic policy or an identified human checkpoint owns the consequential result.
- 04 · ProveGenerate new evidence.
A changed commit, export, process or lane must be evaluated again rather than assumed fixed.
Submitted prototypes are not universal guarantees.
The collection proves four implemented, public and reviewable product theses. It does not prove market adoption, complete category coverage, trusted evidence origin or real-world outcomes beyond each documented test boundary.
A useful next step
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