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About 30 agents run his marketing agency's client work on one shared memory

A small agency owner whose team does websites, content, Google ads and SEO for home service businesses runs the work through about 30 AI agents. The problem was memory: every session started cold and repeated mistakes. Since June they share one log that only grows, now about 11,400 lines including 413 decisions, where every note names the agent that wrote it and links to proof, and replaced facts stop showing in searches. A separate grader agent scores every piece of work, though he found 208 of 277 grades had been credited to the grader instead of the worker.

How it works

  1. Put all agent notes into one growing log
  2. Each note carries its author and proof
  3. Search by meaning, keywords, age and type
  4. Replaced notes hidden from normal search
  5. Grader agent scores finished work
  6. Nightly job catches anything the index missed

Why it’s worth knowing

His rebuild test is the detail that matters: he checked what happens when the search index is rebuilt from the log, and found deleted facts would have come back to life.

Where it’s from

Summarized from a public post on reddit.com. See the original ↗

Upgraded prompt

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