Working with AI Coding Agents
373 pages | 6 parts | 18 chapters
Provide the collaboration practices required to implement and improve the application.
Explore the Book
Build Your First AI Application
Turn a focused AI solution into a working application
Bring MVP discipline, architecture literacy, and coding-agent collaboration together in one complete building outcome.
Your professional outcome
Build capability around a clear goal
Your first focused application turns abstract concepts into practical decisions. You learn what it means to define a user journey, specify AI behavior, direct implementation, inspect the structure, test essential functionality, and prepare for limited real use.
Why this Path matters
Give your next move a stronger foundation
Building a complete artifact reveals assumptions that discussion cannot. It also shows where AI-assisted creation feels powerful and where informed human direction, testing, and deeper expertise still matter.
You are building the ability to direct the creation of a focused AI application and understand what you built.
What you learn
Turn understanding into action
Define a narrow application outcome and user journey.
Translate the MVP into requirements and acceptance criteria.
Plan essential components, data, AI behavior, and interface.
Build iteratively with a coding agent.
Inspect and test each meaningful increment.
Handle errors, uncertainty, and user feedback.
Prepare the application for a limited real-world test.
The Books in this Path
Connected foundations. One professional outcome
Build depth in each subject, then connect what you learn through Build Your First AI Application.
Building MVPs with AI
391 pages | 5 parts | 18 chapters
Keep the application focused on a meaningful learning objective.
Explore the Book
Software Architecture for Non-Engineers
417 pages | 6 parts | 18 chapters
Help you understand components, data, services, and deployment decisions.
Explore the BookHow the Books connect
Stronger together
MVP discipline decides what to build. Architecture provides the map. Coding-agent collaboration turns the plan into working increments. Together they create a practical path from solution concept to usable evidence.
Who this Path is for
Bring your context to the learning
Learners with a focused application idea who are ready to apply THINK and DESIGN foundations through practical building.
Professional applications
Put it to work
- Build a narrow internal assistant.
- Create a client proof of concept.
- Develop an AI-enabled form or analysis workflow.
- Turn a service step into a small application.
- Produce a product prototype for user testing.
Career connection
Part of a larger professional capability
This Path is a central BUILD milestone. It converts strategy and design into working evidence and gives LAUNCH something real to validate and introduce.
Explore the CareerYour transformation
Create your first complete evidence
You should be able to explain the purpose, main structure, essential behavior, limitations, and next learning step of an AI application you directed.
Our Methodology
A clear progression from learning individual skills (books) to building complex abilities (learning paths and academies) and an entire career around them.
A group of books builds learning paths; a group of learning paths builds Academies; and a group of Academies builds the AI Strategist & Builder Career.
- Books
Learn a specific skill or topic
- Learning Paths
Achieve a specific goal
- Academies
Master a specialty
- Career
Become an AI Strategist & Builder
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