A decade of estimating lessons, turned into a check that runs on every new bid. Every finding is tied to source evidence; the estimator makes the final call.
$221,915.70 surfaced · $3.44M reviewed
Five sources an estimator used to reconcile by hand now reconcile on every bid. Each flag carries its evidence; the estimator rules on every one.
The same information was moving by hand through three disconnected systems. A deterministic browse-review-save workflow replaced both manual transfer points.
30 to 60 hrs/wk returned · 12 releases · no rollbacks
Two seams where a person retyped the same facts became one review step.
A production AI system built so sensitive personal and professional work stays private without giving up access to capable models and modern agent workflows.
19,124 production events · zero confirmed leaks
Every real failure is classified, written as a regression case, fixed, and then held at the release gate for good.
What I am working against
I think we're building a lot of AI backwards.
More autonomy.
More agents.
Bigger models.
Longer prompts.
AI in every workflow.
None of those are product outcomes.
I care about
Better decisions.
Less wasted work.
Failures that teach the system.
Humans retaining the authority that matters.
The cheapest reliable path to the required outcome.