← All work Product build · AI systems · 2026

A second brain that runs the agency.

Loopsuit Brain turns 477 expert videos into linked notes. Agents read those notes to price deals, draft proposals and plan the week, and every answer points back to its source.

TypeOur own product
We didSystem design, agents, ingestion, product
TimelineJuly 2026 to now
StackClaude Code · Markdown + git · Python
3,089wiki pages across six knowledge vaults
43,155links between those pages
477source videos cited, page by page
7agency skills the agents can run
The short version

Better answers come from reading less.

The whole idea in 60 seconds, one product decision at a time.

01The problem

Hours of video. Zero recall.

We learn from long creator videos, then forget them by Friday. So every transcript gets split into small linked pages, each one ending with its source.

589 raw transcriptsAtomic pages## Source on every page
02Six vaults

One brain, six subjects.

Each subject lives in its own vault with its own index, so an agent only reads what the task needs.

Wiki pages on disk

Counted with find, not from memory.

Links

43,155 wikilinks

Pages point at each other, so one question pulls in the pages around it.

Sources

477 videos cited

Every page ends with a Source heading, so coverage is counted by a script.

Structure

The four C's

Contextwho I am, the businessConnectionslive data by CLICapabilitiesskills as SOPsCadencescheduled routines
Portable

Plain markdown and git

Opens in Obsidian, Claude Code or Codex. No lock-in, full history.

03The router

Read the right vault, skip the rest.

A root router file tells any agent where things live. It opens one vault's index, follows links, and leaves the other five closed.

CLAUDE.md routeragents.md mirrorindex.md per vault
04Skills as SOPs

Knowledge that does the work.

Seven skills turn the notes into agency output: a priced quote, a proposal, a cold email, a discovery script.

price-a-dealproposal-generatorcold-emailoffer-designersales-discoveryagency-autopilotingest
05Checked against disk

The brain doesn't take an agent's word for it.

Agents over-report. So every ingest run follows four rules, and a script checks the vault after every batch.

1Source as a heading

Every page ends with ## Source and the video link, so a script can count coverage.

2Count, don't recall

Page counts come from find and grep on disk, never from the agent's summary.

3Check every batch

rebuild-wiki.py --check runs after each batch, not once at the end.

4Atomic, no orphans

One idea per page, linked in. Deepen a page before adding a new one.

"Report only counts you measured. Agents have inflated their output about 2x here, repeatedly."
From the router file every agent reads first.
06Productized

Now a product: Cortex.

The same loop, packaged for other people: capture a thought, let agents clean and link it, then explore the graph. Core loop built, billing next.

Next.js 16React 19Supabase + pgvectorClerkAI SDKOffline-first IndexedDB

Want a brain like this for your team?

We turn your calls, docs and playbooks into a linked knowledge base your agents can actually use. Start with a free 20-minute call.