BYOBot

Automate Fireflies Without Code

Meeting summaries, action items, CRM updates, follow-up drafts, call-theme analysis: describe your Fireflies workflow and get a portable agent spec. First build free.

Summarize for one audience Pull the action items Update the CRM Draft the follow-up Find the themes Digest a recurring meeting
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Meeting Summaries
Rewrite a transcript as the summary a specific audience needs, so your team reads six lines instead of skimming forty minutes.
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Action Items
Pull out what was committed, by whom, and by when, including the ones phrased as a maybe, so nothing agreed on a call dies on it.
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CRM Updates
Turn a sales call into notes, stage changes, and next steps in your CRM's shape, so the record is current without the evening admin.
✉️
Follow-up Drafts
Draft the follow-up with the specifics discussed and the agreed next step, so it goes out the same day while it still counts.
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Call-Theme Analysis
Read a month of calls together and name what keeps coming up, so objections and feature requests become evidence rather than anecdotes.
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Meeting Digests
Keep a running digest of a recurring meeting, with decisions and open threads carried forward, so the series has a memory.
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AI Chat Tool
Run it in any chat AI
Paste a transcript into Claude, ChatGPT, or Gemini with a BYOBot spec and get back the summary, the action items, or the follow-up draft. No OAuth required.
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Browser Agent
Agent works your notes
A browser agent pulls the transcript from Fireflies, writes the summary into your docs, and files the notes on the CRM record, with nothing to integrate first.
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Automation Stack
Notes that file themselves
Connect the spec through your stack so every recorded call produces its summary and action items, and the follow-up waits in your drafts.

Build Your First Fireflies Agent

Describe the post-meeting workflow. Get a portable spec. Run it wherever your transcripts live.

$25 USD
S$34 SGD · 5 builds per pack · first build free
Build your Fireflies agent →
No account. No code. Works with any meeting recorder.

A transcript is not a note. Fireflies solved the recording and the searching, and in doing so it created a new backlog: forty minutes of accurate text per meeting that nobody reads. The automatic summary helps, until you want the version your engineering lead needs rather than the generic one, or the commitment someone made in passing at minute thirty-one, or what six customer calls had in common.

BYOBot turns each of those into a portable spec: a structured file naming the transcript, the audience, and the output. Build the summary spec once and run it from a chat AI where you paste the transcript, a browser agent across Fireflies and your docs, or your stack after every recorded call. It shares logic with meeting notes automation and files into the same place your CRM workflows read, so a call becomes a current record rather than a recording.

Start with audience-specific summaries and action items, since those two turn a transcript into something anyone acts on. Once they run, CRM updates and follow-up drafts follow from the same file, and cross-call theme analysis becomes possible because you finally have structured output from every meeting. The specs port to Otter.ai, Fathom, or Grain, so your post-meeting workflow isn't tied to whichever recorder your team standardizes on, and the follow-up slots into your email automation.

BYOBot automates what happens after the transcript exists: writing a summary for a specific audience, extracting action items with owners and dates, turning a sales call into CRM notes and next steps, drafting the follow-up, analyzing themes across a month of calls, and keeping a running digest of a recurring meeting. If the task reads a transcript and produces a summary, a record, or a draft, it can become an agent.
It is, and the summary is generic by necessity: one output for every audience and every meeting type. A spec lets you say what you want from this kind of call, in your format, for these readers: a sales call becomes CRM-shaped notes, a design review becomes decisions and open questions. Same transcript, output your team can use as it stands.
It catches explicit commitments reliably and flags the softer ones, the "I can probably look at that" kind, as uncertain rather than inventing a deadline. You review the list, which takes a few seconds and is still faster than rereading the call. For anything that becomes a billed or contractual commitment, keep a person in the loop.
It prepares the update: notes in your format, the suggested stage change, the next step, and the date. Whether it writes directly or leaves it for approval is your call, and most teams start with approval and move to automatic once they trust what it files. Nothing closes a deal or changes a forecast without a person.
Yes. The spec takes a transcript as input, so it doesn't care which tool produced it. If you switch recorders, or different teams use different ones, the same summary, action-item, and follow-up workflows keep working.
No. Copy a transcript into an AI chat tool and the spec runs immediately. A browser agent can read your Fireflies notes directly, and connecting the API through your automation stack is a later step for when the workflow runs every day.