Stop wasting
coding-agent runs.
Type a rough request. Get an agent-ready prompt back — extracted, formatted for your tool, quality-checked before it reaches you.
1 free preview · Sign in for 3/day · Pro unlimited + auto-refined to ≥ 90
an example
Vague in.
Senior-engineer-grade out.
"Add auth to my FastAPI app" is a 7-word request. Skipping the senior review costs you 3 production incidents and a security audit finding. AgentForge surfaces what a junior would miss — argon2 vs bcrypt, email enumeration, account lockout, session rotation, the rest — before the agent writes a line.
Quality verified — score 93 / 100.
<task> Add user authentication to a FastAPI app — email + password login, session management, password reset. </task> <functional_requirements> - FR-001 (confirmed): Registration (email + password) - FR-002 (confirmed): Login → session cookie - FR-003 (confirmed): Logout (invalidate session) - FR-004 (confirmed): Password reset via email - FR-005 (assumed): Email verification on signup </functional_requirements> <edge_cases> - EC-001 (edge): Lockout after 5 failed logins / 15min - EC-002 (edge): Session rotation on password change - EC-003 (edge): Email enumeration prevention (constant-time) - EC-004 (edge): Concurrent login from multiple devices - EC-005 (edge): Race on signup with same email - EC-006 (edge): Expired reset token handling </edge_cases> <security_requirements> - argon2 password hashing (not bcrypt — modern default) - HttpOnly + Secure + SameSite=Lax cookies - Constant-time token comparison - Rate-limit /login (5 / 15min per IP) </security_requirements> …+ assumptions, execution protocol, files_to_touch
our secrets
Two engines you
can't buy off the shelf.
A wrapper is easy. A reliable prompt engine is not. We spent months building two so that "≥ 90" actually means production-ready.
The Prompt Engine.
Extracts intent. Structures the spec. Formats for your target agent.
Type "Add auth to my FastAPI app." It surfaces argon2, constant-time comparison, account lockout, session rotation, email enumeration prevention — trained on 1,000+ real scenarios where naive prompts produced production incidents.
The Judge Engine.
12 dimensions. Three independent vendors. One median score.
Weights, thresholds, refine-loop — every parameter calibrated against 12,000 iterations. The judges self-iterate until the score crosses 90, then release. At 80, a prompt looks fine and ships a confident-sounding mistake.
Stop rewriting prompts.
1 free preview · Sign in for 3/day · Pro at $5/mo for unlimited + auto-refined to ≥ 90.