GPS for building with AI
Flows turns a build goal into a guided route: the exact prompt for each step, a strict Verify Gate before you move on, and a recovery prompt for when the AI fakes it.
Implement the real signup logic for this app. Do not only create a visual form. The signup flow must actually create a user record, validate input, handle duplicate emails, show loading states, show error states, and redirect the user after successful signup. Requirements: email and password fields; confirm password field; required field validation; email format validation; password minimum length validation; duplicate email handling; loading state while submitting; success state after account creation; error state for failed signup; store user profile data; redirect successful signup to the dashboard; keep the user session active after signup; make the form responsive on mobile. Also create or update any required backend routes, database schema, client state, and protected route logic needed to make this real.
Verify before continuing
A real step from the demo flow — click to run it yourself →
More than a prompt library
Every flow is a route: an ordered chain of prompts with the context the AI needs. No guessing what to paste next.
Each step ends in a strict checklist. If a check fails, you do not continue. Fake progress gets caught immediately.
When the AI fakes UI or breaks something that worked, paste the recovery prompt and get back on route.
Recommended paths
Each path is a sequence of flows that build on each other.
For builders shipping an app end to end — every feature verified, nothing faked.
For apps that look finished but are fake underneath — convert visuals into real logic.
For builds that are done and need users — copy, press, launch, and outreach in order.
Browse by category
Auth, payments, dashboards, marketplaces — built for real.
Fix broken buttons, fake auth, and apps that only look done.
Product Hunt, Reddit, landing copy, pitches, and outreach.
DeSlop audits, security basics, mobile QA, and evidence packs.
Agent loops, planning, sub-agents, and the agent-computer interface.
Compaction, persistent memory, recall ranking, and cross-session state.
Tool schemas, MCP servers, deferred loading, and structured output.
Verification loops, permissions, cost routing, evals, and observability.
Prompt injection, red-teaming, threat models, and release gates.
Featured flows
Build a real signup, login, session, and protected route flow - not a form that only looks functional.
Add real Stripe payments with checkout, webhooks, and payment status - not a button that pretends to charge.
The anti-AI-slop audit: find and fix everything that makes your app look and feel like a generic AI build.
Plan and execute a Product Hunt launch: positioning, assets, launch-day playbook, and follow-through.
Go from idea to a working SaaS MVP: auth, core feature, billing readiness, and a landing page that converts.
Research Vault
A browsable, searchable library of public research on coding-agent internals: harness engineering, memory and context systems, MCP tooling, and agent security. Every source is summarized, tagged, and cross-linked to the research-backed flows it informs.
Explore the Vault