Meeting notes used to be made “for a person to read later.” But as AI assistants and agents work their way into our day-to-day, meeting records are taking on a new role — context you hand to your AI. The short version: if you keep your meeting transcripts in an AI-readable format (Markdown / JSON) inside a project folder, any AI that reads that folder can act on your past meetings without being asked. OffReco’s project sync is built for exactly this — and your audio never leaves your Mac.

Notes were always “for people”

Minutes have always assumed a human reader.

Settling the post-meeting “wait, what did they say?” (a memory aid)
Recording decisions and action items so everyone’s aligned (a record of agreement)
Handing context to people who missed it, and searching it later (reference)

In every case the reader is a person, so notes get summarized and tidied for human eyes. That still has value.

A new reader showed up: your AI

The way we work has shifted. Writing code, researching, drafting, planning — more and more of it happens alongside an AI assistant or agent.

But AI has a blind spot: it doesn’t know what you decided in the last meeting. So every time, we paste in the background and re-explain the situation. Context piles up with each meeting, yet none of it reaches the AI. That’s a quiet but real waste.

Keep notes as “context for AI”

Meeting notes for AI agents are meeting records kept in an AI-readable format (Markdown / JSON) inside a project folder — not just a summary, but the speaker-labeled full transcript. Flip the framing: keep meeting notes not only as a tidy summary for humans, but as project context an AI can read.

Format: Markdown / JSON, which AI tools handle well
Location: a project folder your AI reads — a code repo, a knowledge vault, a synced folder
Content: not just a summary, but the speaker-labeled full transcript (who said what)

Do this, and an AI agent can move the next step forward knowing “this is what we agreed last time.” Notes grow from a document for people into an input that moves the project forward.

How OffReco does it

OffReco lets you group meetings into a “project” and auto-write each transcript to a folder you choose.

When a meeting ends, it transcribes automatically → then syncs transcript.md / transcript.json one-way to your project folder
Point that folder at wherever your AI agent reads, and the latest context accumulates with every meeting

To be honest about scope: OffReco’s part ends at writing transcripts to the folder you designate. Which AI reads that folder — which agent, which tool — is yours to wire up. OffReco doesn’t embed an AI or integrate directly with any specific service. It puts the raw material — AI-readable meeting records — in your usual place, in a usable form. That’s enough.

Without giving up privacy

“Hand it to an AI” can sound like your audio is heading off somewhere again. This is where local-first matters.

What’s written to the folder is text (the transcript) — audio is never written out
Recording, transcription and speaker labeling all happen on your Mac, and your audio and transcripts are never sent to a server (transcription even works in Airplane mode)
Which folder it lands in, and which AI reads it, is your call from start to finish

In other words, “give context to your AI” and “keep audio off the cloud” are not in conflict.

In short

Your meeting notes no longer have only a human reader. Keep them as AI-readable project context, and your AI agent can pick up with every past meeting in mind — all without your audio leaving the device. Curious? Download it and try project sync. You might also like How to transcribe meetings on a Mac without sending audio to the cloud and our approach to privacy.

From notes for people to context for AI: meeting records in the age of AI agents