Start with the question.Leave with a path.

AI 4U is a product company and building partner. You can analyze an opportunity, use a working product, explore an agent or automation blueprint, or bring us a custom system to scope and build.

Start with the Business Opportunity Scan. It reviews one public page, cites the signals it can observe, names what remains unknown, and proposes one small move to validate. It is a preliminary scan, not a complete business audit.

Every marketplace record carries a readiness label. Use now means there is a working public path. Assisted means there is a real foundation that needs review or adaptation. Blueprint means the workflow is designed but should not be mistaken for a finished autonomous product.

The marketplace starts with the outcome. It brings together selected independent products, AI 4U systems, governed automation patterns, and a secondary utility library. Independent records link to official sources and show the review date, data boundary, human gate, current pricing disclosure, and what AI 4U did not independently verify.

The fixed scope includes a current-state capability map, three prioritized opportunities, a build, buy, or automate recommendation for each, a data, integration, risk, and human-gate map, and an executive implementation brief. It reviews public signals and context you approve. Implementation, certification, private-system access, and expanded scope are separate.

No. Each record states what works now, the required inputs, the human gate, its current limit, and whether the example is illustrative or backed by an internal proof receipt. High-impact external actions stay behind explicit human approval.

Yes. We first map the current system, evidence, constraints, integrations, and owner of the final decision. The result may be a focused integration, an adapted AI 4U system, or a custom build. We do not prescribe a stack before understanding the problem.

There is no universal timeline or price that is honest for every custom project. Scope, dependencies, risk, integrations, review requirements, and the definition of done determine both. The published $999 AI Opportunity Audit is the narrow exception: its price is fixed only for the exact public package scope. A written proposal remains the source of truth for implementation and expanded work.

A real public destination, an inspectable product artifact, or a dated proof receipt with a visible limitation counts as evidence. Illustrative examples are labeled as examples. A blueprint, concept, screenshot, or generated draft is not presented as proof of customer outcomes.

The analyzer separates observed evidence, assumptions, and unknowns. Product and marketplace records expose current limits. For custom work, important assumptions become validation steps or written acceptance criteria before they become commitments.

Not from the public product paths presented here. Outreach and other consequential actions require a human approval gate. The public examples show review-ready plans and drafts, not a promise of unsupervised external action.

Submit a public website page that you are comfortable having reviewed. Do not submit private dashboards, credentials, personal records, confidential documents, or URLs that require authentication. The scan is designed around publicly available page evidence.

Ownership, licensing, support, maintenance, handoff, and third-party dependencies are defined in the written agreement for that project. We do not replace those project-specific terms with a blanket promise on a marketing page.