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Product engineering for founders

Finish and launch your AI-built app.

You have a working demo. Now you need the features, reliability, and release plan that let real people use it. Bayon AI helps you close that gap through scoped product engineering.

Request a project fit review

No repository access required for the initial project fit review.

The demo works.
The next step is harder.

AI tools can help you get an idea on screen quickly. Finishing the product means understanding what happens across the whole journey, including when something goes wrong.

  • Your prototype works in a demo, but important user journeys are unfinished.
  • Fixing one issue keeps breaking another part of the app.
  • Sign-in, permissions, payments, or integrations need a closer look.
  • You need a clear answer on what to fix before the next release.

A clear route from
“nearly there” to release.

We start with your next milestone and agree the work in stages. Each stage has a concrete output, so you can decide what comes next.

  1. 01

    Find the real gap

    Start with your product, current blocker, and next milestone. If there is a fit, agree a technical assessment and the access it needs.

    Prioritized findings and acceptance criteria.

  2. 02

    Finish what matters

    Work through the agreed features and repairs. Clarify business rules, resolve underlying faults, and add focused regression checks around the changes.

    Scoped implementation with evidence of the changed behavior.

  3. 03

    Prepare the release

    Verify the agreed user journeys and failure cases. Document deployment, monitoring, recovery, and remaining limitations before the release decision.

    A release checklist and an operating handover.

A technical assessment is separately scoped. After fit and repository access are agreed, we inspect the agreed system areas and provide prioritized findings, an implementation plan, and acceptance criteria.

Code changes, product completion, testing, and release preparation are a separate implementation engagement with agreed requirements. Sending the review form does not start implementation.

Thunderlist Today view with tasks and completion progress
Thunderlist product view

Inside a Bayon product · Thunderlist

Thunderlist: the real test came when the connection disappeared

An owned-product engineering case study in making a task app useful beyond the online demo.

What the demo couldn’t tell us

A task app needs to remain useful when the connection drops. Thunderlist’s offline startup work exposed a distinction: reaching an offline fallback page is different from opening a workspace with a previously cached task.

Repair the behavior beneath the screen

We repaired the workspace bootstrap path so it did not start online preparation while offline. The wider task-detail recovery contract uses cached data when available and gives a clear reconnect path when it is not. Cached subtask data is kept separate from server-confirmed counter reconciliation.

Verify the actual operating condition

After reconnecting and priming the app, a cold offline launch on an Android emulator displayed the cached task and offline indicator without the workspace-bootstrap warning.

This verified one cached-task scenario in one authenticated workspace on one Android emulator. The first unprimed launch showed the offline fallback. It does not establish every offline flow, physical-device behavior, iOS behavior, or universal launch readiness.

This is Bayon’s own product, not a client engagement. It demonstrates a specific engineering method; it makes no claim about how the original app was authored.

Explore Thunderlist

Before we look at your app.

Can you finish an app built with AI coding tools?

Yes. We assess the existing product and code against your next milestone, then agree the features, repairs, and release work to take on. The starting point is a project fit review.

Do I have to rebuild my app?

A rebuild is not the default. We assess what can be retained and where targeted repairs are appropriate. Any larger architectural change needs an agreed reason and scope.

Do you need repository access before the first review?

No repository access required for the initial project fit review. The initial review does not include a code audit, implemented fixes, or a production-readiness sign-off.

How much will it cost, and how long will it take?

Bayon AI service prices are not published on this website. We agree the scope of an engagement before work begins. Timing depends on the existing product, assessment findings, and the milestone we agree. We do not promise a fixed launch date before understanding that scope.

Does the review mean my app is ready to launch?

The initial review does not include a code audit, implemented fixes, or a production-readiness sign-off. Release verification belongs to a separately agreed implementation engagement and applies to its requirements and tested conditions.

Tell us what’s working.
And what’s keeping you from launch.

Bring your product link or demo, the blocker you keep hitting, and the next milestone you want to reach. We’ll start by checking fit.

Request a project fit review

No repository access required for the initial project fit review.