Pass the gauntlet.
Or don’t ship.
Crucible ships with a production-grade gauntlet of automated verification — eight-point checks, visual QA, accessibility, regression detection, contract validation — that every forged application must clear before it’s approved.
Most AI-built software looks right at first glance and falls apart in the third edge case. Crucible’s Gauntlets are the defense against that. Before an application can be declared complete, it has to survive a gauntlet of automated verification: type checks, linting, secrets scans, unit tests, integration tests, regression detection, accessibility audits and API-contract validation. Every route gets screenshotted and judged. Interactive flows get simulated. And if nothing is actually working — zero screenshots, zero evidence — the build fails, regardless of how confident the Worker was.
What it is, in plain terms.
Eight-point verification
Type checks, lint, npm audit, secrets scan, unit tests, integration tests, regression detection, accessibility — all run; no early exit.
Visual QA
Playwright screenshots every route. A Judge reviews each screenshot against the build’s intent. Visual bugs get caught before a human ever looks.
Accessibility enforcement
WCAG checks run on every page. Inclusive software isn’t a stretch goal — it’s a gate.
Stuck detection
Composition fingerprints and criteria stagnation reveal when the loop is spinning its wheels — and escalate before budget evaporates.
What changes for the business.
Regression detectors compare every iteration to the last. If something that worked stops working, the build fails loudly.
Containerize, launch-verify, visual QA, git commit and handoff phases are enforced for every application — regardless of what the Builder tried to skip.
Every app runs in a container on the platform network before it’s declared done. "Works on my machine" is not a valid result.
Enterprise-grade by default.
Holistic cross-tool analysis
The judge deduplicates root causes across lint, tests, accessibility and security tools — producing a unified verdict, not a wall of noise.
Simulated interaction
For UIs and games, Crucible auto-drives interactions — clicks, keystrokes, gameplay — and verifies the behavior matches intent.
Contract validation
OpenAPI and schema contracts are validated against actual runtime behavior, not just static analysis.
Mandatory screenshots
Zero screenshots equals zero evidence equals build failure. Visual truth is non-negotiable.
Deterministic detection
Stuck detection is rule-based and cheap — no LLM call needed to spot a hung loop. Catching the failure is cheaper than the failure itself.
Always-on enforcement phases
Containerize, launch, verify, QA, commit, handoff — ALWAYS run. The Builder cannot route around the quality floor.
Quality floor, not quality ceiling.
The Inversion Principle asks the business to trust AI with real work. That trust has to be earned on the only axis that matters — the quality of what ships.
Crucible’s Gauntlets are the earn. A forged application doesn’t reach Archon because an agent said so. It reaches Archon because a specialized suite of verifiers proved, with evidence, that it clears the bar. Once humans see the bar enforced on every iteration, delegating the build becomes a rational choice — not a leap of faith.
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