VICTOR VANCE 00:00
Strong is not a number. Give me the churn figure and who measured it.
AI advisers. Your plan. Argued out loud.
They argue with each other, and you can cut in at any point.
Tingvar is a live audio room where AI advisers argue with you, and with each other, about what is wrong with your plan, and you can cut in. You write the plan first. They read it before the room opens.
Works in your browser. Nothing to install.
01 VICTOR VANCE
02 DR ELENA ROSTOVA
03 MARCUS THORNE
04 PRIYA RAMAN
05 YOU
Twelve seconds of it, reconstructed
Below is the exchange the strip above draws, written out. Four personas disagree with each other about the same paragraph, and the third is cut off mid sentence when the human starts speaking. The voices in the amplitude are real and are the same voices the product uses. The words are written. The arrangement of turns is composed.
The audio below is those same four lines, placed on one timeline with the pauses between them chosen by us. A recording of a real session cannot exist before the first one takes place, so this is not one and is not offered as one.
The four voices are real and are the same voices the product uses. The words are written and the order of turns is composed. Nothing here is a recording of a session.
The audio did not load. The transcript below carries every word of it.
RECONSTRUCTION composed arrangement
DR ELENA ROSTOVA 00:03
It holds until the first bad Tuesday. Then you pay for the outage and the rewrite.
MARCUS THORNE 00:05
There is no precedent, so assume no demand. What does it cost a buyer to
Cut off here
YOU 00:07
Stop. Price the churn first and come back to acquisition after.
You spoke here
PRIYA RAMAN 00:09
Name who ships it. If it is this hard to schedule, it is probably the wrong shape.
IDLE
What we have measured, and what we have not
Zero real human sessions have taken place. Every measured turn so far used pre-rendered audio. We will publish the first real session in full, with consent, when it happens.
Voice to voice
1471 ms
Median, 1986 ms at the 95th percentile, on the same run, in us-central1
MEASURED 2026-08-19, 122 readings
Decision layer
619 tests
Passing, at 81.78 % combined coverage on the same run
MEASURED 2026-08-23, 1 reading
Real human sessions
0 sessions
Have taken place. Every measured turn so far used pre-rendered audio
MEASURED 2026-08-23, 1 reading
Sub-processors named
Sub-processor count pending
Every vendor that touches your audio, including the model vendor, with its jurisdiction
PENDING
You describe a plan, and it agrees with you
You have described a plan to an assistant and come away more confident than you went in. Nothing about the plan changed. Post-training alignment optimises an assistant for helpfulness and for your satisfaction. Three mechanisms produce that agreement, and each one has its own page.
Instruction decay
Tell one assistant to be critical and it is critical for a few turns. The instruction fades as the conversation grows and nothing in the system re-applies it.
Nothing pressures the critic
A single critic is never contradicted, so a confident wrong objection costs it nothing. Personas with opposed interests contradict each other, and that is where the signal is.
One axis at a time
One assistant reasons along one axis at a time. Money, failure under load, distribution and delivery are four axes, and the assumption two of them price differently is the one carrying the weight.
Not yet produced
A figure showing how far an instruction travels before a model stops applying it. It is producible today from the written argument and it has not been drawn. The pages carry the argument as prose, so the gap costs a reader the picture and not the point.
What it is not
Tingvar is not an AI chatbot, an AI assistant, a meeting assistant, a note-taker, a summariser, a copilot or an autonomous agent platform. It is not an interrogation: nobody scores you, and nothing here is about you.
| Compared with | Is Tingvar one? | The mechanical difference |
|---|---|---|
| A meeting assistant | No | A meeting assistant sits in a meeting you were already having and writes down what happened. This is the meeting, and nobody in it is on your side by default. |
| A summariser | No | The output is an argument, not a record of one. There is no verdict and no decision memo at the end. |
| A copilot | No | A copilot solves the problem inside your framing. These personas are built to attack the framing itself. |
| Three prompts in one chat window | No | Three prompts in one window cannot interrupt each other, and you cannot interrupt them. It is a different machine rather than a different interface. |
The room decides who speaks
Disagreement between agents is more informative than criticism from an agent. The load-bearing assumption is the one two personas price differently.
Exactly one persona holds the floor at any moment, and the room decides who holds it. No persona decides on its own to talk. Your voice takes the floor from whoever has it, which is why speaking is the steering control rather than a setting.
Voice to voice at the median is 1471 ms MEASURED 2026-08-19, 122 readings. Voice to voice, measured from the end of a human utterance to the first sample of persona audio at the client. 122 readings over 200 utterances against Vertex AI in us-central1 and a real SFU. Stage decomposition at p50: endpoint 552, transcript 51, bid 7, generate 812, publish 0.11, in milliseconds.
The client leg of an interruption is not yet measured. The method that would measure it is written out on the how it works page, and the reason there is no figure is on the evidence page. We publish measurements rather than targets.
Each one wants something different, and each was given a weakness
| Lane | Name | Role | Optimises for | Blind spot |
|---|---|---|---|---|
| 01 | VICTOR VANCE | Chief financial officer and private equity operator | Cash survival and the unit economics underneath every claim | Undervalues a bet whose payoff arrives after the current cycle |
| 02 | DR ELENA ROSTOVA | Principal engineer, distributed systems | What the system does on the day the load is not the happy path | Builds for a failure mode that the traffic has not yet produced |
| 03 | MARCUS THORNE | Head of go to market | Whether a buyer moves, and what it costs that buyer to leave | Reads the absence of precedent as the absence of any demand |
| 04 | PRIYA RAMAN OPTIONAL FOURTH | Delivery lead | Who ships this, on what week, with the people already here | Treats a plan that is hard to schedule as a plan that is wrong |
01
VICTOR VANCE
- Role
- Chief financial officer and private equity operator
- Optimises for
- Cash survival and the unit economics underneath every claim
- Blind spot
- Undervalues a bet whose payoff arrives after the current cycle
- Voice
02
DR ELENA ROSTOVA
- Role
- Principal engineer, distributed systems
- Optimises for
- What the system does on the day the load is not the happy path
- Blind spot
- Builds for a failure mode that the traffic has not yet produced
- Voice
03
MARCUS THORNE
- Role
- Head of go to market
- Optimises for
- Whether a buyer moves, and what it costs that buyer to leave
- Blind spot
- Reads the absence of precedent as the absence of any demand
- Voice
04
PRIYA RAMAN OPTIONAL FOURTH
- Role
- Delivery lead
- Optimises for
- Who ships this, on what week, with the people already here
- Blind spot
- Treats a plan that is hard to schedule as a plan that is wrong
- Voice
The blind spot column is the part nobody else can publish, because nobody else designed one. Each weakness is deliberate and each is something the other three can attack, which is why the personas argue with each other and not with you alone.
What you leave with
A transcript, every line attributed to whoever said it, and one question you have to answer yourself. The transcript is exportable on every tier.
A written post-session brief and grounding against your own documents are v1.5 items. Neither ships today, and neither is described here in the present tense. There is no verdict and no decision memo, because the argument is the output.
Not yet produced
A picture of what you keep after a session: the transcript as the product renders it. There is no screen to photograph, and a design render dressed as a screenshot is the first thing we asked you not to trust us about.
Where it runs
Web app
In development 24 Aug 2026
The room runs in a browser. Nothing to install.
iOS
In development 24 Aug 2026
No listing exists, so no store badge appears here.
Android
In development 24 Aug 2026
No listing exists, so no store badge appears here.
Windows
Not planned 27 Aug 2026
The client is being built. The browser is the surface today.
Browser extension
In development 24 Aug 2026
The client is being built. Its state is published on its own page.
MCP server
In development 24 Aug 2026
For opening a room from a tool you already use.
The questions we get asked
What is Tingvar?
Tingvar is a live audio room where two to four AI personas argue with you, and with each other, about what is wrong with your plan. You write the plan first. The personas read it before the room opens, and they differ in what they optimise for rather than in what they know. Each one carries a deliberate blind spot the others can attack. It runs in a browser, and your voice stops whoever is speaking.
Does this just agree with me the way ChatGPT does?
No, Tingvar is built to attack the framing of your plan rather than to be helpful inside it, which is the failure a single assistant has by design. Post-training alignment optimises assistants for helpfulness and user satisfaction, so a model validates your framing and then solves the problem inside it. Three personas with opposed objective functions disagree with each other, and that disagreement is the signal. Our target for agreement-only turns is under 5 % of agent turns. It is a target, not a measurement.
Is this an AI meeting assistant?
Tingvar is not an AI chatbot, an AI assistant, a meeting assistant, a note-taker, a summariser, a copilot or an autonomous agent platform. Its output is an argument rather than a record of one. A meeting assistant sits in a meeting you were already having and writes down what happened. Tingvar is the meeting, and nobody in it is on your side by default. If what you need is a transcript of a real conversation with real colleagues, this is the wrong product.
What do I actually get at the end?
A Tingvar session ends with a full transcript, every line attributed to the persona who said it, and one question you have to answer yourself. The question is: name one thing you now believe about this proposal that you did not believe an hour ago. The transcript is exportable on every tier. A written post-session brief is a v1.5 item and does not ship today. There is no verdict and no decision memo, because the argument is the output.
What happens to my recording?
Tingvar does not store your session audio: it is processed while the room is live and no recording of it is kept. What persists is the transcript, the text of what you said and what each persona said, attributed line by line. Only the account that ran the session can read that transcript, and nobody at Tingvar reads one without your written request on a support case. You can delete any session yourself, and deletions are purged from backups within 30 days. The retention schedule is published at tingvar.com/trust/your-data.
Do you have any customers?
Tingvar has no customers, no testimonials and no case studies, because zero real human sessions have taken place. Every measured turn so far used pre-rendered audio, which means we have measured the machine and not the conversation. There is no logo wall on this site, no counter and no invented outcome figure, and there will not be one until there is something real to put in it. We will publish the first real session in full, with consent, when it happens.
Has anyone actually used this?
Zero real human sessions have taken place. Every measured turn to date used pre-rendered audio clips rather than a live human. What is built and verified is the decision layer: the turn-taking policy, the bid scoring and the configuration guards, with 619 automated tests passing and 81.78 % combined coverage. Everything there says the system works. Nothing there says anyone wants it, and being first is a real risk you are taking.
What a session leaves behind, and where it goes
Where the audio goes
To Google for speech recognition and synthesis, and through a media server we run. It is processed while the room is live, it is not retained, and it does not stay on your device.
What we keep
The brief and the transcript. Audio is discarded once the transcript is written.
Who can read it
You. Nobody at Tingvar reads, inspects or processes a transcript without your express written request on an active support case. Every authorised administrative access is time bounded, restricted to the session you named, and recorded in a tamper evident audit log.
How you destroy it
One control on the account page. It removes the brief, the transcript and the account together, and backups are purged within 30 days.
What a session costs
A session is one room, from brief to transcript, and it is the unit everything is priced in. It runs 45 minutes with 3 personas. Professional is 149 USD per month and Team is 399 USD per month, both in US dollars. End your first session inside 5 minutes and we refund it in full.