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3 ways to build an AI app

Compared by speed, flexibility & cost (observed pricing)

Three approaches to building an AI app, split by speed, flexibility and cost. Options organized by characteristic — not recommendations.

Last updated 2026-06-06 · prices observed 2026-06-06 (official pages)

Fast Launch

Speed-first · low/no-code

Fastest path to live (low/no-code)

For: Ship a prototype the fastest

LovableBuild the app by prompt$25/month

⚖ Lovable vs Bolt →

SupabaseData & authFree tier · usage-based

VercelDeploy & hostingFree tier · usage-based

$25〜/mo (sum of paid entries, observed)

+ infra free to start

Developer First

Flexible · extensible

Most flexible and extensible

For: Engineers who want full control

ClaudeDesign & code$20/month

⚖ Claude vs ChatGPT →

CursorBuild in the editor$20/month

⚖ Cursor vs Windsurf →

SupabaseData & authFree tier · usage-based

VercelShip

Open Source / Self-host

Low cost · self-hosted

Lowest running cost (self-hosted)

For: Keep costs low and own the stack

OpenRouterModel routingUsage-based (per token)

PostgreSQLDatabaseFree · open source

CoolifyDeploy (self-hosted PaaS)Free · OSS (your server)

Free to start (usage-based / self-host)

+ infra free to start

Representative patterns split by speed / flexibility / cost. No subjective claims or adoption rates (adoption data not yet accumulated).

Common questions

How do I build an AI app the fastest?

The Fast Launch stack — Lovable + Supabase + Vercel. Low/no-code, the fastest path to live.

What's a low-cost stack for an AI app?

The Open Source / self-host stack — OpenRouter + PostgreSQL + Coolify. OSS, usage-based and self-hosted for the lowest running cost.

How to build an AI app with open source only?

PostgreSQL + Coolify (self-hosted PaaS) with OpenRouter — mostly open source, on your own server.

Observation only — no predictions, no recommendations. Representative stacks shown with observed pricing and sources. You decide what to build. © TraceBottle for AI

読み込み中…

3 ways to build an AI app

Compared by speed, flexibility & cost (observed pricing)

Three approaches to building an AI app, split by speed, flexibility and cost. Options organized by characteristic — not recommendations.

Last updated 2026-06-06 · prices observed 2026-06-06 (official pages)

Fast Launch

Speed-first · low/no-code

Fastest path to live (low/no-code)

For: Ship a prototype the fastest

LovableBuild the app by prompt$25/month

⚖ Lovable vs Bolt →

SupabaseData & authFree tier · usage-based

VercelDeploy & hostingFree tier · usage-based

$25〜/mo (sum of paid entries, observed)

+ infra free to start

Developer First

Flexible · extensible

Most flexible and extensible

For: Engineers who want full control

ClaudeDesign & code$20/month

⚖ Claude vs ChatGPT →

CursorBuild in the editor$20/month

⚖ Cursor vs Windsurf →

SupabaseData & authFree tier · usage-based

VercelShip

Open Source / Self-host

Low cost · self-hosted

Lowest running cost (self-hosted)

For: Keep costs low and own the stack

OpenRouterModel routingUsage-based (per token)

PostgreSQLDatabaseFree · open source

CoolifyDeploy (self-hosted PaaS)Free · OSS (your server)

Free to start (usage-based / self-host)

+ infra free to start

Representative patterns split by speed / flexibility / cost. No subjective claims or adoption rates (adoption data not yet accumulated).

Common questions

How do I build an AI app the fastest?

The Fast Launch stack — Lovable + Supabase + Vercel. Low/no-code, the fastest path to live.

What's a low-cost stack for an AI app?

The Open Source / self-host stack — OpenRouter + PostgreSQL + Coolify. OSS, usage-based and self-hosted for the lowest running cost.

How to build an AI app with open source only?

PostgreSQL + Coolify (self-hosted PaaS) with OpenRouter — mostly open source, on your own server.

Observation only — no predictions, no recommendations. Representative stacks shown with observed pricing and sources. You decide what to build. © TraceBottle for AI