The problem
- Rebuilding auth, billing, and data foundations for every new idea.
- Losing momentum while wiring API types, database migrations, and admin tooling.
- Delayed launches because marketing pages and product UI are not production ready.
AI agents for customer supportOpen dashboard bun install && bun dev
Build AI support agents that feel like your best employees.
Train an agent on your docs and FAQs, connect tools, brand the widget, and embed it on your site — without rebuilding auth, APIs, or chat infrastructure from scratch.
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Problem and solution
Stop rebuilding the same SaaS foundation every time
This starter removes repetitive setup work so you can focus on your unique product logic.
The solution
Use a production-grade foundation with auth, database, APIs, email, and UI primitives already integrated. Spend your time validating agent quality, knowledge, and customer outcomes — not stitching infrastructure together.
Libraries and integrations included
Everything you need to ship AI support agents
Start with a strong baseline and spend your time on product differentiation, not repetitive wiring.
Authentication out of the box
Better Auth is prewired with Drizzle so sign-up, sessions, and account flows are ready to ship.
Typed APIs end to end
tRPC and TanStack Query are configured so your client and server stay type-safe without manual sync.
Database and migrations ready
Drizzle ORM with PostgreSQL and scripts for generating and running migrations are already in place.
Workspace management ready
Collaborative workspace patterns out of the box — teams, shared context, and scoped product flows.
Built-in theming support
Light and dark mode styling is already wired into the UI system so you can ship a consistent branded experience faster.
UI foundation included
Tailwind CSS v4, Tailwind Plus elements, and shadcn/ui-compatible setup help you build polished pages fast.
Demo product workflows
Preview core workflows before you write custom code
Show prospects exactly how fast they can launch by demoing core agent workflows.
Agent playground
Design conversation flows, test behavior, and iterate on your agent before you embed it.
Knowledge & actions
Connect documents, FAQs, and tools so your agent can answer accurately and take real actions.
How it works
A simple workflow from idea to launch
Follow a repeatable process to move quickly without sacrificing quality.
Step 01
Sign in and create a workspace
Use Google or email auth, then create a workspace for your team.
Step 02
Build your agent
Set behavior, add knowledge sources, and test in the playground.
Step 03
Embed and launch
Copy the widget snippet, allowlist your domains, and go live.
Testimonials
Teams shipping faster with ChatForge
Founders and product teams use this foundation to launch sooner without rebuilding core SaaS infrastructure.
We went from idea to first paying customer in under two weeks. The auth, API, and data foundation saved us days of setup.
Aarav Patel
Founder, LaunchPilot
The built-in workspace patterns and theming support helped our team ship a polished multi-tenant app with much less custom groundwork.
Maya Chen
Product Engineer, TeamCanvas
We replaced a month of boilerplate with one weekend of customization. Everything important was already structured and production-friendly.
Noah Williams
Indie Hacker, MetricFlow
Frequently asked questions
Everything you need to know before launching your next AI support agent.
ChatForge is a platform for building and deploying AI customer support agents — train them on your data, connect tools, and embed a chat widget on your site.
No. Marketing pages use static content in the codebase so you can ship without a separate CMS database.
Yes. The app is organized around workspaces so teams can collaborate with scoped product flows.
Most teams can start building agents on day one because auth, APIs, and UI foundations are already integrated.
Built for rapid iteration
From idea to launch, without rebuilding the basics
Use ChatForge as your default foundation and move from concept to paying customers faster.