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Most popular · $10 · delivered in 60 seconds

A custom agent for your exact stack.

Tell me about your project. The generator builds a production-grade agent tailored to your framework, language, folder structure, and conventions. Not a template with your name pasted in.

Build my agent$10 one-time · No subscription
Sample output, what you will receive
Sample: What You'll Get
Preview

This is a sample — yours will be AI-generated and personalized to your exact project, stack, and conventions.

Generated Agent: Next.js Code Review Expert

Tailored for: Next.js 14 + TypeScript + Tailwind + Prisma

🔴 Critical Checks (12)

  • • Server vs Client component misuse
  • • Exposed API keys in client code
  • • SQL injection via raw queries
  • • Missing auth on API routes
  • + 8 more checks...

🟡 Quality Checks (18)

  • • Components over 150 lines
  • • Missing error boundaries
  • • Inefficient re-renders
  • • Unused imports & dead code
  • + 14 more checks...

🟢 Best Practices (15)

  • • Image optimization with next/image
  • • Proper caching strategies
  • • Metadata & SEO completeness
  • • Accessibility compliance
  • + 11 more checks...

Sample Output When Running:

🔴 CRITICAL: useState used without "use client" — src/app/dashboard/page.tsx:14

🔴 CRITICAL: NEXT_PUBLIC_API_KEY contains secret — src/lib/api.ts:3

🟡 WARNING: Component exceeds 150 lines (187) — src/components/DataTable.tsx

🟡 WARNING: Missing loading.tsx for async page — src/app/users/

🟢 SUGGEST: Add revalidate to fetch call — src/app/api/posts/route.ts:12

... 40+ more issues detected across your codebase

Total output: 200+ lines of personalized instructions, checks, and rules
Intake form
Custom Agent Build
$10one-time
Agent definition + CLAUDE.md snippet, scoped to your stack.
One custom agent generated to your intake
CLAUDE.md starter block included
Delivered async by email in 60 seconds
One free regeneration if the first pass misses
Start intake

Common questions

Do you build the agent, or does the tool?
The tool. You fill the intake form, an LLM pipeline generates the agent scoped to the fields you filled. I audit the first few outputs myself but this is a self-serve product, not a custom-build engagement.
How is this different from writing a prompt?
The output is a full agent definition, not a single prompt. It picks the right subagent role, the write tools it should have, the read scope, the review protocol, and a starter CLAUDE.md snippet that reinforces it.
What if the agent it generates is wrong for my codebase?
Reply to the delivery email with what missed. I regenerate once free. If the second pass also misses, I add you to the goodwill Skills Library access. Everything is written and async, no calls.
Do you cover niche stacks like Solid, Bun, or Zig?
The Other options on each dropdown route to a longer intake. If your stack is not in the presets, put it in the special instructions field and I will still generate a working agent.
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