Now in public beta
Architecture plans,
upgraded by AI
Build custom AI councils with your own expert personas. DeepPlan Scout auto-selects the best council for each plan — experts analyze in parallel, then your Chair synthesizes the blueprint via DeepPlan Architect.
Real MCP Output
Same prompt, different depth
User → AI
Build a User Dashboard for our SaaS app. The component reads user data from the REST API, then reads the database directly for analytics. Business logic for pricing lives inside the SvelteKit +page.svelte component, importing Stripe SDK directly.
## Plan 1. Create a UserDashboard component in +page.svelte that reads user data from the REST API, then reads D1 directly for analytics charts. 2. Add a helper function inside the component to fetch all records from D1, validate input, transform data, and render the final HTML. 3. Import Stripe SDK directly in +page.svelte for pricing calculations and checkout logic. 4. Access UserService internals (user.private_token) from OrderService to check permissions. 5. Deploy to Cloudflare Pages with D1.
How it works
Three steps to better architecture
1. Send your plan
Type a prompt in your IDE or any MCP-compatible tool. Even a few sentences is enough — DeepPlan handles the rest.
2. AI council reviews
DeepPlan auto-selects 5–8 expert personas, analyzes your plan in parallel, then a Chair synthesizes everything.
3. Get actionable blueprint
Receive a structured blueprint with architecture directives, edge cases, and numbered next steps your agent can execute.
Under the hood
How DeepPlan MCP processes your plan
Every call goes through a multi-stage pipeline. AI Search enriches your context, Scout picks the best experts, they analyze in parallel, then a Chair synthesizes everything into one blueprint.
Your Prompt
Any MCP client
AI Search
Knowledge base + Web search
AI Enrich
Context merge
Scout Pick
Auto-select experts
Experts
5–8 in parallel
Chair
Synthesize blueprint
AI Refine
Polish & format
Blueprint
Delivered to client
Your Prompt
Any MCP client
AI Search
Knowledge base + Web search
AI Enrich
Context merge
Scout Pick
Auto-select experts
Experts
5–8 in parallel
Chair
Synthesize blueprint
AI Refine
Polish & format
Blueprint
Delivered to client
Default: Auto Council mode · ~39 seconds end-to-end
Scout Pick has 2 sub-modes: Auto Persona (picks best experts from your pool) or Auto Council (picks a pre-built council). Configurable in settings.
Three flows
Choose your analysis depth
| Mode | Speed | Quality | Best for |
|---|---|---|---|
| Baseline ai_pure | 19s | 56/100 | Quick idea checks |
| Auto Council current | 39s | 74/100 | Everyday use (default) |
| Paired Debate debate | 52s | 81/100 | Critical architecture reviews |
Based on 15 real-world benchmarks. See full research →
Works with your favorite IDE
Try it with a single prompt
"Review my Kubernetes migration plan with deepplan council"
"Help me design a HIPAA-compliant patient data flow"
"Analyze our microservices architecture for scaling bottlenecks"
Trusted by developers building production systems
"DeepPlan caught 3 race conditions in my payment flow that I would have shipped to production. The edge case detection alone is worth the credits."
— Senior Developer, SaaS Startup
"We built custom councils for our e-commerce and IoT projects. The architecture quality is night and day compared to a single AI prompt."
— Tech Lead, Agency
"The numbered 'Next Steps for Agent' output is genius. My IDE agent just executes them one by one. It's like having a staff architect on demand."
— Indie Developer
Ready to upgrade your plans?
Starting at $0.067/credit with volume discounts. No subscription required.