Production tools for companies that want to know what's working — shipped by a supervised multi-agent platform where every execution is quality-scored, every failure mode is classified, and every trace feeds a learning loop.
5,457
Agent executions
3,736
Quality-scored
441
Sprints shipped
10
Model variants
How it's built
01 · Scored
Every agent execution produces a structured quality score from a separate LLM judge. Code that scores below threshold stops before it reaches review.
02 · Classified
Six behavioral trajectory classes. "Giving up early" scores 0.720 — above fleet average, invisible to the scorer. Only trajectory analysis detects it.
03 · Learned
Weak executions produce traces. Traces produce skill patches. Next sprint runs with updated priors. The system measurably improves across months.
“Paying more does not reduce failures. It transforms visible failures into invisible ones.”
— The 0.648 Problem · 5,457 executions across 10 model variants · Read the full paper →
Products
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 moreKnowledge Layer
LiveBidirectional AI knowledge base
Cross-project memory that compounds. AI reads the KB to start informed and writes back. Every session builds on the last.
BPOS
InternalSupervised multi-agent delivery platform
The platform that ships everything above. Supervised orchestration, quality scoring, trajectory classification. Not sold standalone.
Writing
We publish what's working and what isn't. No vendor pitch — just data from our own systems and the patterns that transfer.
Paper · May 2026
The 0.648 Problem
What 5,457 agent executions reveal about quality scores, behavioral patterns, and the metrics that actually matter.
Read the paperLibrary · MIT
coca-scorer
LLM-as-judge quality scoring at <$0.002/call. Published to npm and GitHub.
View on GitHubLibrary · MIT
trajectory-classifier
SQL-based trajectory classification. Six behavioral classes from execution traces.
View on GitHubLibrary · MIT
sprint-health
Sprint-level health monitoring with Monte Carlo sequencer.
View on GitHubBook a walkthrough and we'll show you a live sprint — from blueprint to trajectory report to merge — on our own production codebase.