WilliWalli

A working multi-agent AI operation, built for a real business.

Named agents that hand work to each other through a database. AI shipped inside the products. And the engineering discipline to prove — with numbers — what works and what doesn't.

Pipeline · job-inquiry · demonstrated live

machine flowa human decides
  1. 01 · Scout

    Finds a wellness-industry job posting via web search, twice daily

  2. 02 · Scout

    Scores the fit against Amy's profile — only 8+ advances

  3. 03 · Sage

    Drafts an inquiry email in Amy's voice

  4. 04 · Gate

    One email to Amy: job summary plus the draft

  5. 05 · Amy

    Approve · Edit & approve · Revise · Reject — at the Agent Inbox

  6. 06 · Memory

    Her verdict is written back for both agents to learn from

This pipeline found a real job posting, drafted a real inquiry in Amy's voice, and waited for a human yes.

Three pillars

What this practice is made of

4 agents, 0 dispatchers

routing lives in Postgres

Agent operations

Scout, Sage, Draper, and Squid coordinate through a shared task queue. A single database trigger does all the routing — no orchestrator to babysit, no framework to outgrow.

3 shipped assistants

grounded in live user data

AI in the product

A trading coach that reads chart screenshots. A budget advisor with semantic memory and no server database. An admin assistant with read-only tools. Features, not demos.

−11.3% / trade

the edge we falsified before trading it

Honest engineering

Backtests that report negative results. Bug ledgers that invalidate old stats. Provenance notes on what's original and what's community work. Receipts included.

The work

Three project areas, one operating system

How it connects

One memory, many agents, one human gate

Every agent, script, and coding session reads from and writes to a single governed memory. Content publishes flow in through webhooks, agents recall them before they work, and human verdicts flow back so the whole network learns from one decision.

See the full architecture →

Method

Everything starts as a written brief

Every project has a CLAUDE.md, an agent brief, and a plan document before code gets written. Bugs go in a ledger. Claims come with numbers. How I work →

What this means for you

Want a system like this behind your business?

I design and build AI operations end to end: agents, memory, human approval gates, and the product features on top. Every engagement starts with a written brief.

Email me