CORE LOGIC
MANUAL SCANNING FAILED
Human bandwidth is insufficient for repository-scale analysis. Signal is distributed across sparse data points: commit diffs, PR comments, and architectural patterns.
AGENT SWARM TOPOLOGY
Small, highly specialized agent networks outperform monolithic LLMs. Our architecture mimics elite small teams: 5-7 specialized agents with distinct evaluation heuristics.
INVERSE FUNNEL
SPECIFICITY → ABUNDANCE
Conventional filtering is destructive. We utilize constructive search: start with a single high-fidelity seed profile and expand via vector similarity in the capability space.
- Input: 1x Deeply Understood Engineer
- Process: Vector Pattern Matching
- Output: 50x High-Confidence Matches
INTELLIGENT AGENTS
DISTRIBUTED INTELLIGENCE
We have built intelligent, high-precision agents to work together rather than relying on a single monolithic agent or keyword searches posing as AI.
These specialized agents encode the specific sourcing heuristics of our expert team—capturing human intelligence to identify signal where others only see noise.
- Monolithic AgentLOW FIDELITY
- Keyword SearchHIGH NOISE
- Veblen SwarmHIGH PRECISION
Rigorous analysis over volume.