App foundation
Start with a modern web app and one API layer you control.
npm create next-app@latest agent-studio
cd agent-studio
npm install openai @anthropic-ai/sdk @google/genai zod
npm install @modelcontextprotocol/sdk
If your goal is not just to use a vendor tool but to own the workflow, approvals, memory, branding, and client experience, you need a custom agent stack. This is the DaniMaster route for businesses building a Claw-style or Claude-style internal platform, not just one-off experiments.
Use a custom stack when the agent becomes part of your product, your operations, or your client-facing service and must follow your own business logic and governance model.
Start with a modern web app and one API layer you control.
npm create next-app@latest agent-studio
cd agent-studio
npm install openai @anthropic-ai/sdk @google/genai zod
npm install @modelcontextprotocol/sdk
Add storage, auth, and operational tooling early, not after the first failure.
npm install drizzle-orm postgres
npm install lucide-react
npm install pino
npm install -D drizzle-kit tsx typescriptOne service decides which model, tools, and memory profile each job uses.
Persistent project, client, and style memory stays in your database, not in temporary chat state.
Every high-risk action gets a review step before external publishing, billing, or system changes.
These roles become more valuable when they understand your own services, your customer types, your design rules, your approval thresholds, and the exact artifacts your business expects at the end of each run.
Choose this route when the agent is becoming a product, a service layer, or a reusable client platform. If the goal is to own the workflow and not just rent an interface, this is the right long-term build path.