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AI Feature Integration

One capability that holds up.
Someone who stays on eval and cost.

We pick the use case, implement it, and ship it with evaluation and cost limits. You can take the files, or keep us on the feature as quality and spend move.

Why AI feature integration

A demo is not a feature.
It has to hold up in production.

A weekend prototype, a freelancer notebook, or a hire who skips evaluation will not give you a capability you can afford. Logging and cost limits still have to ship.

01 The load

A demo, a notebook, or a hire — none of them own the capability

You show a slideshow that calls an API. A contractor leaves a notebook nobody can run. Put an ML person on payroll for one search box and you have opened a department. You came here so the feature would stop being a support incident.

The company needs it in the product. Not in a demo day.

02 The team

The feature is how users trust the product. Cost and quality still drift.

Ship week is the easy part. A month later the bill spiked and nobody owns eval. You need someone who already knows the capability, and can keep limits without a new vendor.

Someone on the feature. Already in the eval. Still there next month.

03 The work

And still — you have to measure it, and afford it.

One capability, evaluation, logging, cost boundaries. A magic demo is not the artifact. A feature that holds up is.

Evaluated. Observed. Cheap enough to keep on.

A demo you cannot measure becomes a support problem.

How we work

We lock the use case.
You see eval. We can stay.

No mystery model. No skip of logging. No unbounded bill.

  1. 01

    We lock one capability

    Feature, product AI, or platform — named before anyone picks a model.

  2. 02

    You see quality and cost

    You approve the eval and the limits before it is trusted in production.

  3. 03

    We ship. We can stay.

    The feature is in the product. Keep us on eval, or run it yourselves.

AI feature pricing

Choose the capability, and how we work together.

One feature, the product around it, or a platform with limits. Pay once if you will operate it. Keep us on evaluation if cost and quality still have to hold.

Founder

Feature

  • Ongoing
  • Eval

$39850% off

$199/mo. with ongoing support

Your AI feature in production, behind your login

Eval set and cost limits

Your engineer, unlimited updates

Rollback if quality or cost breaks

Cancel Anytime

Recommended

Founder

Feature

  • Ongoing
  • Eval
  • Logging
  • UX

$77850% off

$389/mo. with ongoing support

Your AI feature in production, behind your login

Eval set and cost limits

Your engineer, unlimited updates

Rollback if quality or cost breaks

Logging and a cost dashboard

Empty states and errors around the feature, kept in step

Cancel Anytime

Founder

Feature

  • Upfront
  • Files

$1,98950% off

$989one-time fee, files only

One payment covers the feature

You approve before anything goes live

You get the files and a clear handoff

Best if you plan to run the next change yourself

Add monthly help later if you want it

Questions before you hire

What do you actually do?

One AI capability inside a product you already have — with evaluation, logging, and cost limits. Not a chatbot. Not a general agent.

Can you take over work I already have?

Yes. We start from the product and the use case you have. If a simpler feature is the fit, we say so.

What if I only want the files?

Pay once. We ship. We hand off. You operate it. Monthly help is there later if you want it — not a requirement.

Do you stay after the first job?

That's the monthly path: eval and cost as usage grows. Cancel when you want.

How is this different from a freelancer or a hire?

You don't hire a notebook as a department. One team that already knows the capability, and can keep limits without a new vendor.

If this is the fit

Pick the capability.
We'll take it from there.

One feature, the product around it, or a platform. Pay once for the files, or keep us on evaluation.