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Courses / AI-Assisted Product Building

AI-Assisted Product Building

Use conversational AI, vibe-coding platforms, coding agents, skills, and agent systems as parts of a controlled product-development workflow.

AI can accelerate ideation, specification, interface creation, coding, testing, and documentation.

The quality of the result still depends on the context supplied, the work assigned, the checks performed, and the decisions retained by the founder.

This course explains prompting, prompt engineering, vibe-coding platforms, coding agents, skills, agent systems, workflow design, testing, and prompt improvement.

Start CourseBook a Technical Consultation
160 minutes of published reading
16 published lessons

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Learning Outcomes

  • Assign ideation, specification, implementation, and testing to appropriate tools.
  • Improve prompts with context, constraints, examples, and acceptance criteria.
  • Review agent skills, permissions, autonomy, and recovery paths.
  • Recognise when AI-generated software needs human engineering review.

Intended Audience

Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

Prerequisites

No engineering experience is required. Bring a product idea, proposal, or existing software decision to examine.

Module Outline

Module 1

AI Building Tools

Separate conversational planning, codebase implementation, reusable skills, and controlled workflows.

View Module
  1. What AI Can Contribute to Product Development9 min
  2. Prompting and Prompt Engineering10 min
  3. Context, Constraints, and Examples11 min
  4. Vibe-Coding Platforms Such as Lovable and Replit9 min
  5. Chat Agents and Coding Agents10 min
  6. Chat Agents, Coding Agents, and Workflows12 min
  7. ChatGPT and Codex9 min
  8. Claude and Claude Code10 min
  9. What Agent Skills Are11 min
  10. Finding and Reviewing Skills9 min
  11. Agent Systems: OpenClaw, Hermes, and Strands10 min
  12. From Ideation to an Implementation Prompt11 min
  13. Reviewing a Prompt Before Coding9 min
  14. Testing AI-Generated Software10 min
  15. Improving Prompts After Failure11 min
  16. Knowing When Human Engineering Review Is Required9 min

Related Courses

MVP Building for FoundersTurn an idea into a product that can be built, tested, and evaluated without allowing the first version to become the entire company.Testing and Quality AssuranceTest interfaces, APIs, workflows, permissions, limits, and failure cases before users discover the problems.Security, Ownership, and OperationsProtect the product, retain control of critical accounts, and prepare the system to be maintained after launch.