Pro AI feature
Truth Layer.
When someone says one thing today and the opposite next week, Bonfiyah notices — and tells you about it before the next meeting starts.
The "wait, didn't you say..." moments.
Two weeks ago, the client said the launch had to be by June 30. Today, they're saying mid-July is fine and "we never committed to June." You think you remember it differently. You're pretty sure you do. But you're not certain enough to push back, and the recording is buried somewhere in your library.
This happens constantly — to lawyers preparing depositions, to sales reps tracking deal terms, to managers running through promised launches, to therapists noticing a client's narrative drift, to journalists vetting a source.
The information is in your recordings. You just can't reach it in time.
Truth Layer is the feature that catches these moments automatically — surfaced before the next conversation, not discovered after.
How it works
- 1
Statement extraction
As each recording transcribes, Bonfiyah extracts the factual claims — what someone said happened, what they say will happen, what they assert about a price, a date, a quantity, a relationship. Each claim is anchored to a speaker, a recording, and a timestamp.
- 2
Cross-recording reasoning
A small on-device model compares each new claim against prior claims by the same speaker (and, where relevant, claims about the same topic from different speakers). The model checks not just keyword overlap but logical consistency — "we're shipping by June 30" contradicts "we never committed to June" even though the words are different.
- 3
Surfacing in the right place
When a contradiction is detected, it appears in two places: the Truth Inbox (a chronological feed of flagged contradictions) and the Pre-Brief for the next meeting with that person. You see the issue before you walk in, with both quotes pre-loaded and timestamps to play.
What "contradiction" means here (and doesn't)
Truth Layer is not a lie detector. It is not a credibility-scoring system. It does not assign motives. It surfaces statements that are logically inconsistent with prior statements by the same person, and lets you decide what to do with that information.
Sometimes the inconsistency is innocent — circumstances changed, the person learned something new, two people heard the same thing differently. Truth Layer surfaces the conflict and gives you the recordings; you bring the judgment.
It is also tunable. In Pro AI settings, you can set thresholds: only flag contradictions involving dates, prices, deadlines, or named third parties. Or flag everything and curate the inbox manually. The default is conservative — it's better to miss a borderline case than to be the friend who keeps yelling "you said X two weeks ago!" at every dinner.
FAQ
Does this work across speakers, or only within one person's statements?
By default, only within one speaker — Truth Layer flags inconsistencies in what one person said over time. A "third-party mode" extends this to claims made about a third party — useful for journalists fact-checking sources or for legal prep.
Can I delete or undo flagged contradictions?
Yes. Each flag has a "Dismiss" action that removes it from your inbox and adds it to the model's "non-contradiction" set so similar pairs aren't re-flagged. You can also delete the underlying recording, which removes all associated flags.
Does Truth Layer leave my device?
The contradiction-detection inference runs on-device on Apple Silicon. No claim text or recording leaves your iPhone unless you opt into iCloud sync. The model itself is shipped in the app bundle.
Can I export contradictions for legal use?
Yes. Each flagged contradiction can be exported as a PDF with both quotes, timestamps, audio clips, and a chain-of-custody hash. The export format is designed for use in deposition prep and litigation; talk to your attorney before relying on any specific export for evidentiary purposes.
Want a real example?
We'll send a 90-second walkthrough of Truth Layer running over a real (anonymized) sales conversation, including the moment it caught a price contradiction the rep had missed.
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