AI Learning Hub
Context is everything. Structure gets rewarded. You are the retrieval system.
Four steps, then you're off
Whether you're brand new or have been prompting for a year, this path covers the foundation before branching into role-specific work.
Why AI?
What it actually does well, what changes for your role, and why prompting is closer to programming than talking.
read it herePick Your Tool
Chat assistant, code completion, AI-native editor, or agentic IDE — don't overthink it, but know the difference.
tool landscapeLearn the Patterns
Zero-shot, few-shot, chain-of-thought, ReAct, Tree of Thoughts — foundations and advanced patterns, with a second brain framework.
prompting patternsPick Your Role Track
Dev, PO/PM, Delivery Lead, Tech Lead, or capstone. Role-specific workflows built on the same underlying patterns.
choose a trackBefore you learn the patterns, orient yourself
Three things worth internalizing before you touch a prompt library or install a tool.
The tasks where it earns its keep
- Drafting first passes on anything text-shaped (emails, docs, PRDs, summaries)
- Transforming content — reformatting, translating register, restructuring arguments
- Recognizing patterns in messy inputs (logs, feedback, transcripts)
- Writing boilerplate and scaffolding you'd otherwise copy-paste
- Rubber-ducking your own thinking — externalizing and stress-testing ideas
The same tool, different leverage points
Prompting is programming
A prompt isn't a request. It's a program. The same engineering principles that make code maintainable make prompts effective.
Four categories of AI tooling
Most people start with whatever's available and upgrade when they hit a ceiling. That's the right move. Here's what the categories actually mean.
| Chat Assistant | Code Completion | AI-Native Editor | Agentic IDE | |
|---|---|---|---|---|
| What it is |
Conversational interface for open-ended prompting
e.g. ChatGPT, Claude.ai, Copilot Chat
|
Inline suggestions as you type, trained on code
e.g. GitHub Copilot, Tabnine, Codeium
|
Editor with deep AI integration — inline editing, codebase awareness
e.g. Cursor, Windsurf
|
Agent that reads, edits, and runs code autonomously across files
e.g. Claude Code, Devin, Copilot Workspace
|
| Best for | Drafting, explaining, brainstorming, non-code tasks | Speeding up typing in familiar codebases; boilerplate | Refactoring, multi-file edits, test generation, codebase Q&A | Large refactors, new features with specs, automated review loops highest leverage |
| Primary users | Everyone — all roles benefit | Developers (and technically-minded POs/TLs) | Developers who want more than autocomplete | Senior devs and tech leads comfortable giving AI significant scope |
| Context window | Single conversation; loses context across sessions | Current file + a few nearby files | Whole codebase via embeddings or selection significant upgrade | Repo-wide; can run commands, read logs, write tests maximum scope |
| Learning curve | Low — natural language interface start here | Low-medium — mostly passive until you learn to steer it start here | Medium — new prompting patterns, composer mode, rules files | High — requires spec discipline and trust calibration graduate when ready |
| When to start | Day one — use it for anything you'd Google | Week one if you write code regularly | When you're writing AI-assisted features or doing large refactors | When you can write a spec that an agent can execute without babysitting |
Five role-specific skill files
Each track is a complete, production-relevant workflow — not a tutorial. You get a skill file you can actually run.
Developer Second Brain
ReAct-driven migrations, refactoring, feature implementation, and systematic debugging with annotated diffs.
PO/PM Second Brain
User stories with Given/When/Then, sprint backlogs, roadmap prioritization, and executive reporting.
Delivery Lead Second Brain
ABCD priority building, risk matrices, client status reports, and phased onboarding — all system-ready.
Tech Lead Second Brain
ADRs via Tree of Thoughts, metaprompts for team amplification, spike plans, and .cursorrules generation.
Make Skills
Turn any repeated weekly task into a structured skill file. Discover, extract the pattern, generate. Every skill is a RAG system.
Materials for the live workshop
Self-study first, then the live sessions, then keep the reference cards close.
Common Knowledge
15-minute self-study. Complete before the live session to align on foundational concepts and vocabulary.
Prereq materialsSession 1 — Patterns & Priority Builder
60 min. Three Approaches Framework, foundational patterns, and a hands-on priority builder exercise.
Session 1Session 2 — Advanced Patterns & Interview Prep
60 min. ReAct, Tree of Thoughts, and a complete interview preparation workflow using spec-kit methodology.
Session 2Quick Reference Cards
Pattern recognition guide and decision tree for rapid lookup during practice. Printable and screen-friendly.
Quick referenceWhen you want more than the workshop covers
Advanced Patterns
Self-consistency, constitutional AI, chain-of-density, structured generation, and evaluation loops.
prompting-advancedPrompt Cheat Sheet
Composition patterns, operator reference, and the scaffolding primitives behind every skill file.
cheat sheetDiagrams as Prompts
Using Mermaid diagrams as structured reasoning inputs. Why pictures beat paragraphs for complex specs.
mermaid promptsLattice-Driven Dev
Dependency-ordered development methodology. Build L1 before L2, verify before shipping each layer.
lattice devFor facilitators
Session structure, timing, and materials for running the live workshop.
Session flow — 105 min total
Facilitator Guide v2
Minute-by-minute script, timing notes, failure modes, and contingency plans for delivery.
Facilitator guideParticipant Materials
Decision matrices, demo personas, spec-kit templates, and workshop completion checklist.
Participant materialsv2 improvements
- Faster — 90 min instead of 120 (still covers more ground)
- Role-specific — four parallel tracks instead of one generic path
- Agency — participants build their own skill file in the capstone
- Lower entry friction — 15-min prereq removes baseline alignment overhead from live time
- Production-grounded — examples drawn from real project patterns, not textbook exercises