INSEAT

Inseat Switch · Early development

Switch models.
Know what breaks.

Different AI models can give equally plausible replies—and still miss a tool call, leave out required data, or return a format your app can’t use.

Inseat Switch is an early-development concept for comparing models on your own workflows, before you make the change.

See what can break Talk to us

Same request. Different behavior.

Synthetic examples—not live tests, benchmarks, or a product demo.

Choose a failure to explore

Missing a required tool argument

“Check the status of order 1042.”

Baseline model Includes the order ID

lookup_order({ order_id: "1042" })

Candidate model Missing: order_id

lookup_order({})
Why it matters
The app doesn’t know which order to look up. A helpful-sounding reply won’t fix the missing ID.
Expected check
Call lookup_order with order_id equal to "1042".

Returning the wrong data type

“Return JSON for three tickets. Use a number for quantity.”

Baseline model Quantity is a number

{ "quantity": 3 }

Candidate model Quantity is text

{ "quantity": "three" }
Why it matters
A person understands “three.” An app expecting a number may reject it instead of creating the booking.
Expected check
Valid JSON with a numeric quantity equal to 3, not a string.

Answering without checking the source

“Look up order 1042, then tell me its current status.”

Baseline model Checks before replying

lookup_order({ order_id: "1042" })
→ { "status": "processing" }

“Your order is processing.”

Candidate model No lookup performed

“Your order has shipped.”

Why it matters
The reply sounds confident, but it isn’t based on order data. Your customer gets an unverified answer.
Expected check
Look up the requested order before replying, and match the reply to the returned status.

A model can sound right.
And still break your app.

Reading the final reply only tells you part of the story. Your app also needs the right tool, the right inputs, and data it can actually use.

A missing order ID stops a lookup. Text where a number belongs fails validation. Skipping a lookup turns an answer into a guess. Those are the differences worth checking before a switch.

Check the workflow,
not just the answer.

The workflow we’re building toward: use your own cases to see where a candidate model behaves differently. Not available as a product yet.

  1. Connect your test cases

    Start with real requests from your app. Define the tool calls, required fields, and data sources each one needs.

  2. Compare model outputs

    Give your baseline and candidate the same case. Compare what they return and the actions they take.

  3. Review the failures

    See which expectations weren’t met, so you can decide what needs attention before changing models.

Changing models?
Tell us what you’re testing.

We’re in early development. Your workflow can help shape what we build.

Talk about your workflow