Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
AI agents don't fail because the AI isn't smart enough
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Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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Generating… usually about a minute.
What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for AI Agent Builder Architect: map the core Developer Tools workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Assumption to check: Limited customization options for agents.
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Lack of templates or pre-built agents.
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Difficulties in understanding AI agent functionalities.
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: In-app purchasing can be confusing.
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
AI agents don't fail because the AI isn't smart enough. They fail because nobody defined the job. AI Agent Builder Architect turns your rough idea into the precise, structured instructions a real AI agent needs: its mission, its tools, its skills, its boundaries, its voice. Describe the job once. Get an agent blueprint in minutes. Copy, deploy, delegate. WHY THIS EXISTS You've seen it happen. You ask for an agent that "handles my leads" and get something that technically responds but actually does nothing well. The problem isn't the model - it's that nobody told it what the job really is. AI Agent Builder Architect is the architecture layer that comes BEFORE the agent builder. It interviews you like a systems designer would: what's the job, which tools does it need, what should it sound like, where are the edge cases. Then it writes the agent specification you'd never have written yourself. HOW IT WORKS 1. Pick the job - personal assistant, lead generator, support triage, research, content, and more. 2. Pick its tools - 50+ integrations to choose from. 3. Describe what it should do in plain language. No jargon required. 4. Give it a voice - ten distinct tones, each with a live preview of how your agent will actually sound. 5. Review its skills - small, focused abilities the AI suggests, chained into a complete workflow. Keep, edit, or regenerate. 6. Answer a few quick clarifying questions about the details that make or break an agent. 7. The architect does the rest - a polished, complete, deployment-grade agent blueprint, ready to paste into your AI agent builder. WORKS WHERE YOU BUILD The blueprint is yours. Paste it into your favorite AI agent builder, and the app will point you to a recommended one to deploy in minutes. KEEP BUILDING, NOT JUST STARTING After the first blueprint, this becomes your agent workspace. Every agent you design is saved with its own AI chat, where each reply is another ready-to-use refinement - new skills, tighter instructions, sharper behavior. Build one agent or a whole team of them. WHO IT'S FOR 1. Founders delegating their busywork to agents instead of hiring for it 2. Marketers who want a lead-qualifying agent running by Friday 3. Support teams triaging tickets automatically 4. Freelancers and consultants shipping agents for clients 5. Anyone who's tried building an AI agent and got a chatbot instead THE PROMISE Describe the job once. Get an agent that actually understands it. There's already an AI agent that could take real work off your plate. AI Agent Builder Architect is how it finally gets built - properly.
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Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.