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The Last 9% Is Where Value Disappears

Millions wasted on AI that hallucinates. We did the math on what verification actually saves. The ROI is in the receipts.

The math
Engineering time lost to debugging AI failures
23%
Average time senior engineers spend investigating AI-generated code that looked correct but wasn't.
Cost of a single hallucinated API integration
$2,400
Average cost when AI generates plausible-looking code that calls endpoints that don't exist or use deprecated parameters.
Research papers retracted due to AI-assisted errors
340+
Papers retracted in 2025 where AI assistance contributed to methodological or factual errors.
Where verification pays
Pre-merge verification saves QA cycles
Catch issues before they hit the test suite. genius_plus runs tests internally. cvi_verify checks constraints. Issues found in seconds, not sprints.
Computed answers eliminate re-work
compute runs real Python. bcalc does real math. Results are verifiable, not generated. No debugging LLM arithmetic.
Security gates prevent incident costs
guardian catches secrets in code before push. pre_publish blocks license violations. One prevented incident pays for years of tool usage.
Transparent pricing enables ROI tracking
Every tool call has a cost. Every cost is traceable. Calculate exact ROI on verification investment.
ROI tools
compute
Real calculations. No arithmetic hallucinations. Verifiable results.
$0.02
bcalc
Mathematical discovery engine. Explore, conjecture, verify.
$0.15
genius_plus
Self-testing code generation. Iterates until tests pass.
$0.65
cvi_verify
Constraint verification. Pass/fail before merge.
$0.10
guardian
Security audit. Prevent costly incidents before deploy.
$0.15
pre_publish
License and quality gates. Block violations before release.
$0.10

Capture the full ROI

The last 9% is where value lives. Start with $5 in credits.

Get Started for $5