Marketing infrastructure,
measured.
We build production tools for companies that want to know what's working — and the supervised multi-agent delivery platform that ships them.
4,600+
Agent executions scored
5
Products in production
Nov 2025
Platform live since
Bouletteproof runs a portfolio of marketing-infrastructure products — attribution, tracking, lead capture, ad generation — built on a supervised multi-agent delivery platform called Bouletteproof OS. Every job our agents execute is quality-scored before a human ever sees the diff. Every sprint is measured at the deployment level, not just the job level. Every trace feeds a learning loop that makes the next sprint better.
We build this way because we use it ourselves. All five products below are shipped and maintained through BPOS. The metrics at the top of this page are live counts, not marketing claims.
Hikr
LiveServer-side analytics, attribution, CRM
First-party tracking, marketing attribution, and lead workflows for businesses that want to know what's actually working — without the cookie consent carousel.
Learn moreHikrLink
LiveShort links, bio pages, QR codes
Branded short links with server-side redirect analytics, creator bio pages, and high-resolution QR codes. Feeds Hikr's attribution graph end-to-end.
Learn moreAdQuill
BuildingAI ad creation + landing pages
Brand-aware ad generation tied to a landing page system and a conversion bot. Built on top of our delivery platform.
Learn moreTonzadeals
LiveGamified lead capture
Lead-capture promotions with gamification mechanics. Used by brands in the Indian Ocean region to drive list growth.
Learn moreBouletteproof OS
InternalSupervised multi-agent delivery platform
The platform that ships everything above. Sprint-based execution, per-job quality scoring, trace-driven learning, human review before merge. Not sold standalone.
01 · Scored
Every agent execution produces a structured quality score from a separate LLM judge. Code that scores poorly stops before it reaches review.
02 · Graded
We measure at the sprint level, not just the job level. Per-job scoring misses coherence failures. Sprint-level grading catches them before deploy.
03 · Learned
Weak executions produce traces. Traces produce skill patches. Next sprint runs with updated priors. The system measurably improves across months.
We publish what's working and what isn't. No vendor pitch — just data from our own systems and the patterns that transfer.
Library · MIT
context-steward
Lazy skill loading for agent systems. Published to npm and GitHub.
ReadEssay · Forthcoming
The 85% Accuracy Trap
What 4,600+ quality-scored agent executions taught us about measuring multi-agent systems.
Coming soon
Book a demo and we'll walk you through a live sprint — from blueprint to scored diff to merge — on our own production codebase.