All materials
Browse all materials.
A map of everything on Clear Workflows, grouped by what you want to improve. Each section shows a few examples and links to the full set.
Not sure where to start?
Begin with the foundational presentations, then choose the section that best matches the kind of work you want to improve.
Foundational presentations
Short, visual decks that explain how AI works, where it fails, and how to use it responsibly. The recommended starting point.
- 01
AI Is Not Intelligent
A plain-language look at what large language models actually do, including probabilities, tokens, hallucinations, context windows, and pattern prediction, while exploring why so many people mistake the output for genuine understanding.
- 02
The Art & Science of Prompting AI
A practical walkthrough of how to prompt large language models well: the structure, context, and iteration that separate a vague request from a reliable result.
- 03
When AI Takes Action
A plain-language look at AI agents. It covers what an agent really is once you give a language model tools and a goal, how the perceive-decide-act-observe loop works, where memory and planning come from, why agents fail differently than chatbots, and the security risks of letting AI act.
AI for Builders
Hands-on workshops for using AI while you build, without blindly accepting its output.
Claude for Developers
Use Claude for planning, debugging, refactoring, documentation, and code review without blindly accepting its output.
Context Engineering for Code
Give an AI the right files, constraints, examples, goals, and acceptance criteria before asking it to write or change code.
AI Coding Workflow
A practical workflow for moving from idea to implementation: plan, scope, prompt, generate, review, test, commit.
AI in the Developer Workflow
Guides for working with AI inside your editor, from setup to reviewing changes safely.
Using AI in VS Code
Use AI assistants inside VS Code through extensions, chat, inline edits, autocomplete, and terminal support, without leaving your editor.
Using Cursor
Cursor-specific workflows: project context, composer and agent behavior, reviewing changes, and staying in control of the edits.
Using GitHub Copilot
Copilot chat, autocomplete, inline edits, and PR help, plus when Copilot is genuinely useful and when it is not enough on its own.
Better Ways of Working
Improve workflows, decisions, documentation, and team clarity. Reading plus hands-on practice.
Process Flow Basics
Map work clearly so people can see the steps, decisions, handoffs, exceptions, and pain points in a process.
Better Documentation
Write documentation that helps people do the work instead of only describing the work.
AI Use Case Workshop
Map a real problem, decide if AI is actually useful, define the expected value, risks, data needs, and human review points.
Playbooks, templates, and tools
Reusable canvases, templates, and checklists you can keep and apply to your own work.
AI Use Case Canvas
Map a candidate use case end to end before you build, so you know whether AI is even the right tool.
Prompt Evaluation Checklist
Score a prompt for clarity, context, and constraints before you trust what it returns.
Agent Readiness Checklist
Decide whether a task is safe to hand to an agent, and what guardrails it needs first.