Building is no longer
the bottleneck.
Distribution is.
AI systems that turn GTM strategy into working infrastructure.
A full agentic revenue platform, architected end to end. Eval-gated agents in a team's revenue processes, live on a multi-workflow engagement.
An agent pod that runs client delivery. Weekly sync transcript in, executed and tested work out, plus the next meeting's deck.
Models generate, reason, and review. Deterministic software decides whether their output is allowed to proceed. These five repos are that boundary, built where being approximately right is not enough.
the full architecture, and the bugs each boundary caught →A deterministic merge gate for multi-agent software delivery. Build agents work in parallel, an independent reviewer adversarially checks each, and a zero-dependency gate decides what merges.
Eval and regression platform for GTM agents. Deterministic rules, a fail-closed LLM rubric, golden-trajectory regression, and an autonomy gate that counts clean runs.
A GTM strategy instrument that refuses to let you skip the evidence. Six decisions, graded evidence, and gates that name exactly what is missing.
An asymmetric PII redaction gate that refuses the write when redaction misses, instead of passing silently. Guards LLM calls and whole agent tool tables.
Webhook ingestion that survives a hostile sender and a flaky handler. HMAC over raw bytes, replay windows, atomic idempotency, and a dead letter queue you can actually replay.