Why Floyant?

Your AI agent writes the app. Floyant runs it.

Floyant works alongside the AI agent you already use — Claude, Codex, or any other — while it builds complete custom applications.

Both write the app. The difference is how much infrastructure you choose to assemble and maintain underneath it.

What an app is

Coding agent alone (Claude, Codex, …): Any framework and custom code — you choose every layer.
Floyant: Structured data, screens, workflows, and API definitions on one shared platform.

Common foundations

Coding agent alone (Claude, Codex, …): Can build or integrate storage, forms, APIs, schedulers, and credentials — your team selects and maintains the stack.
Floyant: Reuses shared data, screen, API, and workflow capabilities rather than selecting a new stack per app.

Change and maintenance

Coding agent alone (Claude, Codex, …): Agents help modify code, but your team owns integration, dependencies, and upgrades.
Floyant: Related pieces can be inspected together on one platform; the operator still owns upgrades, backups, and tests.

Review and release

Coding agent alone (Claude, Codex, …): Can use Git, CI, and any process you engineer yourself.
Floyant: Draft → validate → preview → review → publish lifecycle on one app definition — planned for v1.

Relationship to AI

Coding agent alone (Claude, Codex, …): Direct agent use gives maximal code freedom.
Floyant: Agents can help author supported Floyant app definitions; built-in AI co-building and dedicated external-agent tooling are still being built.

A concrete case: a request desk

With a coding agent

The agent writes a custom front end, storage layer, API, and scheduled job — assembled and maintained by you, per app.

With Floyant

Data, screens, and automations run by the platform — the same building blocks every app reuses.

Why pay for a platform?

You'd pay for reduced assembly, less repeated maintenance, and a shared operating model. Pricing is being shaped with early-access teams and published before general availability.

Pricing direction

Fair fit — honest boundaries

Direct coding is better when

· You need arbitrary, highly custom UX
· The app is native or offline-heavy
· It's a tiny one-off tool with few requirements

Floyant fits when

· The shape is repeatable: data + interface + automation
· You'll run several such apps over time
· Shared foundations beat per-app stack assembly

And to be clear

· Coding agents can build equivalent controls — and self-hosting is available to custom apps too. Floyant adds shared foundations; engineering judgment still applies.
· Self-hosted operators keep infrastructure, backups, and upgrades in their hands. App definitions are purpose-built for the Floyant platform.
· The core platform — data, screens, automations, APIs, scheduling, connected services — runs today; editing tools, AI co-building, and the release lifecycle are on the way.

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