I have an app idea. What should I give an AI coding agent before it builds?

Describe one person finishing something useful

An idea such as an AI learning app, sales assistant, or accountability tool names a category, not a product. Describe one person arriving with a real problem and leaving able to do something they could not do before. For a learning app, that might be completing one useful exercise and understanding the next step. It is not automatically a chatbot, a course marketplace, and a teacher dashboard. The example is illustrative; your user and outcome determine the actual boundary.

Resolve the choices that change what gets built

A coding agent can choose ordinary implementation details, but it should not silently decide who the product serves, what counts as success, or whether an uncertain AI recommendation becomes official. You do not need to dictate every choice yourself. Ask for a recommendation, its consequences, and the few alternatives that materially change the product. Review those decisions together rather than approving an endless list of low-consequence technical preferences.

• Who is the first user, and what is their first meaningful result?
• What information must persist between visits?
• Which changes need the user's approval?
• What is part of the complete first release, and what is genuinely later?
• Which promised capability is not yet proven?

Example: a personalized playbook is not automatically a CRM

Imagine a seller asking for a personalized sales playbook. An agent might add contact management, a pipeline, automated outreach, and team dashboards because those features sound related. None follows necessarily from the original promise. A smaller but complete product could instead let the seller create, inspect, use, and deliberately revise their own guidance. The important planning work is resolving which product is intended, not choosing a database before that distinction is clear. This is an illustrative example, not a claim about a customer's commercial results.

Separate three questions: what is it, how does it work, what gets built next?

Architecture connects the actors, records, workflows, ownership, and boundaries. A technical blueprint turns that into implementation decisions and contracts appropriate to the actual environment. An implementation campaign sequences complete outcomes and identifies the proof needed to continue. A file tree or a long list of technologies does not answer all three questions. Conversely, a small app does not need enterprise machinery merely because the document is called architecture.

Architecture, blueprint, and implementation plan: the difference

Keep important unknowns visible without freezing the whole project

Suppose the product depends on model feedback being useful. The plan should preserve that requirement and put a representative test early in the build. It should not declare that a particular model has already proved the capability, or reduce the product to something easier without your agreement. Some questions can remain bounded verification tasks. Others, such as permission to use private data or a required launch budget, need the appropriate person before work proceeds.

How Driftbreak helps before the first implementation

Driftbreak can start from an idea, work through consequential decisions, present a direction for your confirmation, and produce the architecture, blueprint, campaign, and handoff material. Codex, Claude Code, Cursor, another coding agent, or your developer still implements the software. You can also do this planning manually. The useful test is whether the next builder can understand the product and make the first complete outcome work without inventing its governing rules.

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