AI Agent Workshop

Build agents.
Test ideas. Learn fast. HalperBot

Hands-on tools for understanding how AI agents actually work — no slides, just exercises.

  • Zero to agent automation — self-paced for any skill level
  • 100% free and open source — updated weekly with new tools
  • Leadership assessments + industry-specific agent templates
Take AI Readiness Assessment
Agent Builder LIVE
Prompt
Config
Ready
Agent Activity LIVE
* Based on real AI agents running 24/7
✦ 6 Free Assessments · No Email

Start free: where does your business actually stand?

Peter has reviewed dozens of companies — most aren't where they think they are. Score where you stand, size what AI's worth, and find your first move.

Get Started Now

01
Get Set Up

Make sure Claude and Antigravity are installed. Can't begin without this.

Open setup checklist →
02
AI ≠ Chatbot

What most people think AI is (a chatbot) vs. what it should be used for — agents that take action.

View the problem →
03
How LLMs Actually Work

Interactive demos: tokenizer, context windows, attention heatmaps, and the prediction flow. Understand the engine before you drive it.

Open LLM Explainer →
04
The 6 Agentic Capabilities

What separates agents from chatbots — the 6 core capabilities: chain reasoning, use tools, self-correct, orchestrate, operate autonomously, and make decisions.

View agent concepts →
05
Practice Prompting

See the difference a good prompt makes. Interactive before & after comparisons that show why words matter.

Open Prompt Lab →
06
Go Deeper — Build a Website

Put it all together. Use AI to build and deploy your own personal website from scratch in 30 minutes. Real code, real hosting, real results.

Open Website Builder →
07
RAG Explained

How to make AI accurate instead of confidently wrong. 12 side-by-side examples, a chunking demo, and a decision tree for when to use RAG.

Open RAG Explainer →
08
MCP & Tool Use

How agents connect to the real world — email, databases, files, browsers. Watch tool-use flows in action and build your own tool definition.

Open MCP Explainer →
09
Agent Teams & Subagents

Stop building one thing at a time. Learn to direct multiple AI agents working in parallel, design your own custom agent, and master 8 prompt patterns.

Open Agent Teams →
10
Build 6 Agents

Hands-on. Build one agent for each capability. Together.

Open Idea Factory →

Deep Dives

Interactive concept explainers. Read them in order or jump to what you need.

🧠

1. How LLMs Work

Tokenizer, context windows, attention heatmaps, and prediction flow. Understand the engine before you drive it.

Live
📚

2. RAG Explained

Why AI hallucinates and how RAG fixes it. 12 side-by-side comparisons, chunking demo, and decision tree.

Live
🔌

3. MCP & Tool Use

How agents connect to the real world — email, databases, files, browsers. Build your own tool definition.

Live
🛡️

4. Is That Skill Safe?

Agent skills carry instructions your agent will follow. 26% have a vulnerability. Scan one live and watch a scanner cry wolf — then get fixed.

Live
🧱

5. Context Engineering

Prompting was about how you ask. This is about what the model can see when it answers — the 4 levers and the highest-ROI work in AI right now.

Live
📐

6. Evals: How Do You Know It's Working?

Most teams ship AI on vibes, then it silently degrades. Golden sets, LLM-as-judge, and why a baseline is your first win.

Live
⚖️

7. AI Governance

As agents become the primary users of your software, governance is what lets you move fast safely. The stack + 5 questions every program must answer.

Live
🚀

8. Why Your AI Pilot Died

79% have an AI pilot; only 11% reach production. The 5 reasons pilots die — and a live "are you stuck in the 11%?" self-check.

Live
🏗️

9. Harness Engineering

The model is the engine; the harness is the car. Tools, a real verifier, and a definition of done — the scaffolding that makes agents actually finish.

Live
⚖️

10. Which AI Should We Use?

Claude or Codex? For most companies, the model you pick matters far less than you think. Why the frontier has converged — with the real numbers — and how to actually choose.

Live

Workshop Tools

Click around. These are the tools we'll use during the workshop.

🧠

How LLMs Work

Interactive tokenizer, context window visualizer, attention heatmaps, and prediction flow.

Live
🔍

Prompt Lab

Interactive before/after exercises plus a cookbook of ready-to-use prompts by job function.

Live

Whiteboard

Collaborative canvas for mapping agent flows and architectures.

Live
🌐

Website Builder

Build and deploy your first personal website in 30 minutes using AI.

Live
📚

RAG Explained

Why AI hallucinates and how RAG fixes it. 12 side-by-side comparisons, chunking demo, and decision tree.

Live
🔌

MCP & Tool Use

How agents connect to tools. Watch tool-use flows, build tool definitions, and explore capabilities.

Live
🤖

Agent Teams

Direct multiple AI agents in parallel, design your own custom agent, and master 8 prompt patterns.

Live
📖

Agent Library

Browse 24 ready-to-use agents across 12 departments. Copy their system prompts directly.

Live
📋

Cheat Sheet

One-page reference: 8 essential prompt patterns with copyable examples that work across any model.

Live
💡

Idea Factory & Challenges

Generate random agent exercises plus 15 progressive challenges from beginner to advanced.

Live
💬

Tips, Lessons & Glossary

Workshop tips, hard-won lessons from 4 years of building with AI, plus a searchable glossary of 43+ AI terms.

Live
For Leaders & Teams

AI Readiness Assessment

Five tools, five minutes. Find your skill level, calculate your ROI, score your org's maturity, discover what to automate first, and check whether your agent stack is governed.

How AI-Ready Are You?

10 questions. 2 minutes. Find out where you are on Peter's 4-Stage Capability Framework and get a personalized path through the workshop.

Peter's 4-Stage Capability Framework — Prompt Craft, Context Engineering, Intent Engineering, Specification Engineering
The 4 stages of AI interaction mastery. This quiz tells you where you are — and what to focus on next.
Ready to level up? Try the ROI Calculator below to see your potential savings.

What's AI Worth to You?

Add your weekly tasks below. See how many hours AI could save you — and what that time is worth.

Quick add:
Add tasks above to see your AI ROI
Those hours add up. Now explore what AI can do for your role — or score your org's AI maturity.

What Can AI Actually Do for You?

Pick your role. See specific things AI can handle — with prompts you can copy and use today.

Is Your Business Ready for AI?

Most companies are sitting on massive AI opportunity without realizing it. Rate these 5 areas honestly — your score reveals exactly where AI would hit hardest.

Repetitive Work
How much of your team's time goes to tasks that follow the same steps every time?
3
Data Chaos
Spreadsheets everywhere? Info trapped in people's heads? Hard to get a clear answer fast?
3
Customer Bottlenecks
Slow response times, manual follow-ups, or customers waiting on humans for simple answers?
3
Content & Communication
Reports, emails, proposals, social posts — how much time does writing and editing consume?
3
Decision Speed
How long does it take to get the data you need to make a decision? Hours? Days?
3

What Should You Automate First?

Pick your department. See the highest-impact automations ranked by complexity and ROI.

Is Your Agent Stack Governed?

You're shipping AI skills and tools faster than anyone's reviewing them. 26% carry a vulnerability; 5% are likely malicious. Rate these 5 areas honestly — your score reveals whether you have an SDLC for the artifacts your agents execute, or you're running on trust. See why this matters →

Provenance
Do you know the source and author of every skill your agents run? (1 = no idea, 5 = every one is tracked)
3
Pre-Install Review
Does a human or a scanner review a skill before it's installed? (1 = never, 5 = always, no exceptions)
3
Automated Gate
Is there a CI check that blocks risky skills from merging? (1 = none, 5 = SARIF gate on every PR)
3
Least Privilege
Do your skills and MCP tools declare and limit their permissions? (1 = wide open, 5 = scoped & declared)
3
Detect & Roll Back
If a skill misbehaves in production, can you catch it and revert fast? (1 = we'd never know, 5 = monitored & reversible)
3

Watch Peter's sizzle reel for this free workshop

The Council reviews the AI Workshop

Ready for the Next Level?

The Builder's Table — a bi-monthly invite-only session where founders build AI businesses alongside Peter.

Apply for a Seat →

Peter helps teams go from zero to AI — workshops, strategy, and hands-on enablement. Builder's Table → The Agile VC →