Loop + Agent

A notetaker that feeds your AI model, not a folder.

Capture every meeting and pipe it straight into your context layer and private model, so the whole system gets sharper.

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See how it works
THE PROBLEM

You're recording calls, not learning from them.

Standalone notetakers hand you a transcript and an action list, then the insight sits in a doc no agent or model ever reads.

  • Standalone notetaker · dead end Siloed
  • Call 1 → Transcript → folder
  • Call 2 → Transcript → folder
  • Call 3 → Transcript → folder

3 transcripts · 0 agents read them · 0 model updates

WHY IT MATTERS

Every call your model doesn't see is a pattern it can't learn.

When calls sit in astandalone tool, your agents miss what was said and your model can't learn from the outcome. The system stays static while your deals move.

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HOW IT WORKS

Call Notetaker in three steps.

01

Join every meeting.

The notetaker joins Zoom, Google Meet, and Teams and captures the call, summary, and risk flags automatically.
02

Pipe it into context.

Each call lands in your context layer, joined to the deal, so agents read what was actually said and the outcome it created.
03

Make the model sharper.

Calls create context matched to new outcome data, so your private model and predictors improve with every meeting.
Customer Outcomes

Teams running the notetaker see compounding results.

Every
Call captured automatically
Joined
To the deal in context
Sharper
Model with every meeting
"Our notetaker used to just create transcripts. Now every call feeds the model, and our agents reference what reps actually heard."
Quincy L, GTM AI Lead
Defensestorm
How it compares

Fluint vs. standalone notetakers. Why transcripts aren't enough.

Fireflies transcribes. Fluint feeds the model.
What matters
Fluint
Recommended
Context graphs * search
e.g. glean, notion ai
Revenue judgement
Deal dimensions with revenue impact isolated & labeled
Map connections
Improves over time
Yes, closed loop retrains on the outcome
Re-curated when relationships change
Carries process & rules
Yes, into every workflow
Varies, mostly entities
Delivery & upkeep
One MCP call, fully managed
MCP, with DIY inputs to maintain
Model-agnostic
Yes, outlives any one model
Usually
What matters
Fluint Recommended
Call recorders
Fathom, Fireflies, Otter
Output
Context plus model-training data
Transcript and summary
Feeds your agents
Yes, into the context layer
No
Trains your model
Yes, calls become outcomes
No
Joined to the deal
Yes
Loosely, if at all
Part of one system
Yes, with Loop
Standalone tool

Questions about the Call Notetaker.

Which meeting platforms are supported?

Zoom, Google Meet, and Microsoft Teams. The notetaker joins automatically based on your calendar — no manual setup per call.

How does the call feed the model?

Each call is joined to its deal in your context layer. When that deal closes (or doesn't), the call data becomes labeled training data for your private model. Over time, the model learns which call patterns predict wins.

Do my agents read the call data?

Yes. Any agent pulling context via MCP gets the call data alongside CRM, email, and calendar context. They read what was actually said, not just what's in the CRM fields.

Get Started

Turn calls into context, not transcripts.

Start free and turn every call into context your model uses.

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