Think inside your AI world.
Fireflies through Unl
Fireflies will hand back the transcript, the speakers and the summary, word for word. Whether the panel actually agreed to move the candidate forward or just talked politely for forty minutes is a call Fireflies leaves to you.
Fireflies through Unl reads meeting transcripts, speaker attribution and summaries against the unanimous-vote criterion you have ratified, so 'did the panel agree to move forward' comes back verdict-shaped with the vote the transcript hasn't given.
What Fireflies holds
Naked, Fireflies through Unl reads real transcript content, not a mood read:
- Search meeting transcripts using structured or grammar-based queries
- Query multiple meetings with filters, returning metadata and summaries
- Fetch a detailed transcript by ID, with sentences, speakers and timestamps
- Fetch a meeting summary, including action items and keywords
- Retrieve complete meeting data - transcript, summary and metadata together
What the naked read gives you
Ask Fireflies through Unl for the candidate's second-round interview and it will pull the full transcript, attribute every line to the right panellist, and surface the action items Fireflies detected automatically. That's a complete, sourced record. It doesn't know that your hiring bar requires each of three named panellists to use the words 'yes, move forward' - polite enthusiasm and an actual advance vote read identically to a transcript.
The frame judges the data it is given; it does not verify the source’s accuracy.
What changes when Fireflies is read measured
Say you chair the hiring committee, and you've ratified in Unl that a candidate counts as advanced only when all three panellists' transcript lines each contain an explicit 'yes, move forward' or equivalent, not just positive sentiment - the kind of rule you set after a candidate advances on a transcript full of 'I liked them' that never became a vote.
'Did the panel agree to advance the candidate?' returns, measured: unmet - two panellists say 'move forward', but the third's line reads 'I need to think about it', so the three-of-three condition isn't met. Fireflies supplied the transcript and the speaker-attributed lines; the ratified rule supplied the unanimous-vote condition that turns a transcript into a verdict.
And back again
Once the third panellist sends their vote and you log it in Unl, the same interview question for that candidate returns a met verdict instead of re-reading the transcript for a vote that was never explicit.
The answer comes back measured against what you already decided, and why.
The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Questions people ask
What makes a hiring panel's discussion an 'agreement' rather than just enthusiasm?
The explicit-vote condition your committee ratified, not the tone of the conversation. Here, all three panellists need a transcript line with an explicit 'move forward' before the candidate advances - Fireflies shows what was said, the ratified rule decides whether it counts as a vote.
How do I connect Fireflies to Claude?
Fireflies offers an official MCP server, listed in the Claude MCP directory, that connects via OAuth with no API key required. Connect it from your MCP-compatible client, authenticate with your Fireflies account, then link it into Unl so transcript reads run against your ratified hiring rule.
Does Unl send messages or join meetings through Fireflies?
Unl reads through Fireflies, and can write back on your explicit gesture — it never acts as a side effect of a read.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free at launch.