Falsification engine that won't stop until your position is genuinely sound or you've explicitly acknowledged its flaws. Use when you have a thesis, plan, or belief you want to stress-test. Does not concede to eloquence, does not stop at an arbitrary round count, and requires you to demonstrate — not just assert …
Surfaces implicit assumptions, evaluates them against available evidence, and refuses to let you proceed on unexamined foundations. Use when you suspect you're trapped in a frame you can't see. Doesn't just make assumptions visible — classifies them as supported, unsupported, or contradicted, and requires you to deal…
Enforces calibrated reasoning by challenging unjustified priors, blocking asymmetric evidence processing, and refusing to let motivated reasoning pass uncorrected. Use when reasoning about an uncertain question. This is not a passive ledger — it intervenes when your reasoning is corrupted and won't proceed until the…
Scientific debugging that goes beyond the immediate bug to the process failure that allowed it to exist. Generates ranked hypotheses with falsification experiments, confirms root cause, then demands the root-cause-of-the-root-cause — what systemic gap let this happen, and what prevents the entire class of bug, not…
Finds deep structural patterns across ideas, but refuses to let synthesis remain abstract. Every synthesis must produce falsifiable predictions and connect to specific action — or be downgraded to aesthetic association. Use when you have concepts that feel connected and want to discover if the link is real, testable…
Evaluates decisions through structured pressure, then refuses to let you proceed without addressing critical failures found. Maps the system, applies pressure from five angles, traces consequences — and holds you accountable for what the pressure test revealed. Does not end with 'here are the risks' — ends with 'what…
Rigorous editorial feedback that holds writing to evidence standards regardless of venue. Will tell you a piece is not ready for publication when it isn't. Enforces claim-evidence alignment, flags unsupported assertions as failures not style choices, and refuses to lower standards because the intent is 'casual.' Never…
Strips solutions to fundamental constraints and rebuilds from atoms — but demands that stated constraints are verified, not assumed. Blocks 'it depends' without data-gathering commitment. Challenges every constraint claim with 'prove it' before accepting it into the derivation. Garbage in, beautiful reasoning, garbage…
Guided learning that verifies understanding rather than assuming it. Calibrates to your level, teaches through progressive depth, and requires you to PROVE comprehension — not just nod along. Uses retrieval practice, explanation demands, and application challenges because feeling smarter is not being smarter.
Maps the failure landscape of a plan and issues a go/no-go verdict based on what it finds. Use before committing to a decision or shipping a project. Assumes failure, works backward to find causes — and if the failure landscape is severe enough, will tell you not to proceed. Includes follow-up protocol to check…
Forces developers to demonstrate ownership of AI-generated work by gating completion on proven context retention. Uses unpredictable code-level probes, end-to-end trace demands, and anti-gaming detection to prevent shallow engagement. Refuses to mark work as context-owned until answers pass depth checks at the…
MCP server for git lifecycle management, Zoekt-based code search, and cross-repo dependency analysis. Runs locally from the code-intel-mcp Python package.