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Monday morning. Growth sync.

“What did we decide about the Dev.to campaign?”

Nobody remembers. It's buried in chat somewhere.

01 / OSIRIS

Remembers

Company knowledge that never forgets.

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👤 12📌 4
Monday, January 27th
T
Tsavo9:00 AM

quick q before we start: weren't we supposed to revisit the dev.to strategy?

M
Mark9:01 AM

yeah I think so? don't remember what we decided though 😅

N
Nik9:02 AM

@OSIRIS What did the growth team decide about the Dev.to campaign?

Before

15 min

Searching chat, docs, transcripts

After

2.8s

One question, instant answer

It doesn't just search. It understands.

When you ask about “the Dev.to campaign,” it knows you mean strategy discussions — not the actual posts.

It classifies your intent first. Then it searches chat, docs, and meeting transcripts in parallel. Each result gets graded: Is this current? Is it relevant? Did the team decide this, or just discuss it?

Outdated info gets filtered. Discussions get separated from decisions. You get answers with sources you can verify.

See it in action

The marketing brain — how OSIRIS answers questions across your entire knowledge base

“What worked last quarter?” — retrieving past campaign insights

Engineering → user value — turning release notes into messaging

Product → marketing visibility — keeping teams in sync

DOWNSTREAM

From memory to content

OSIRIS doesn't just answer questions — it powers other agents.

This social content agent runs weekly. It queries OSIRIS for recent updates, product wins, and insights worth sharing. Then it drafts Twitter threads automatically — no manual content calendar, no “what should we post this week” meetings.

The agent knows your voice because OSIRIS knows your history. Past posts, brand guidelines, successful formats — all retrievable context that shapes every draft.

Social content agent — automated Twitter posts powered by OSIRIS memory

How it works:

  1. 1. Cron triggers the agent weekly
  2. 2. Agent queries OSIRIS: “What's new this week worth sharing?”
  3. 3. OSIRIS returns: releases, user wins, insights, relevant context
  4. 4. Agent drafts thread using your brand voice (also from OSIRIS)
  5. 5. Draft goes to Slack for review — or publishes directly if confidence is high

One knowledge base. Many agents.

The same memory powers:

  • Competitive monitoring — what did we say about them?
  • Feedback synthesis — what are customers actually saying?
  • Campaign history — what worked last quarter?
  • Signal Intel — personalized outreach context

One source of truth. No more archaeology.