AI Anonymous · from JAB SystemsIn the spotlight: Matt Murphy ↗
AI Anonymous

Wait.
You can build that?

Yes. And something just as useful for you.

Interactive websites. Workflows that do the repetitive work. AI you actually know how to use. Pick an idea and see where it can go.

THE POSSIBILITY LAB01 / 03

“Make my website start a conversation.”

YOUR NEXT WEBSITE
FROM VISITOR TO CONVERSATION

A little curiosity.
A reason to stay.

Try somethingSee the resultLet’s build

A hands-on experience that shows people what you can do.

Interactive concept · no AI request sent
COME FOR THE CURIOSITY. LEAVE WITH AN IDEA.The conversation ↓The field notes ↓Learn with me ↓
In the spotlight · Matt Murphy

The AI conversation
worth having.

Big AI. Sovereign AI.
Who’s making the decision for you?

Matt Murphy’s post gets to the question behind the tools: dependency or ownership. Start with his perspective, then explore our practical breakdown and five questions for your own AI setup.

Original perspective: Matt Murphy · @mattmurphyai
JABSystems field note inspired by his post.

§ 03 · Resources
Agent control / Practical field guide

Give your AI agent a stop rule.

Run four scripted scenarios and inspect completion, a decision cap, repeated calls, and a denied action before connecting real tools.

PythonTested scripted runnerOctober 16, 2026
Try the local lab
Local transcription / Practical field guide

Your transcript is a draft.

Run Whisper on a synthetic English clip, inspect the actual transcript and timestamp files, and keep a listen-back review before treating the draft as a record.

WhisperTested synthetic audioOctober 14, 2026
Try the local walkthrough
AI-assisted edits / Practical field guide

The AI edit you didn't ask for.

Keep an original draft and compare two fictional revisions with Git. Spot changed dates, owners, and approval language before accepting an edit.

Git diffTested local comparisonsOctober 13, 2026
Review the changes
Free course · Certificate · Downloadable

Prompt to Project — build practical AI skills from your first prompt to a finished project.

Work through 24 hands-on lessons, practice in the prompt lab, explore real project files, search the 77-term glossary, and earn a JABSystems certificate when you complete every checkpoint.

24 lessons Hands-on practice 77-term glossary Completion certificate Offline download
Start the course ↗
Keep exploring · 11 more field guides & checklists
Local retrieval field guide

Search before you chat.

Inspect a local SQLite search baseline with three fictional notes, ranked excerpts, source IDs, and a missing-term test before adding AI answers.

SQLite FTS5Tested local searchOctober 12, 2026
Find the evidence
Resource · AI handoffs · Tutorial

Valid JSON can still be wrong.

Validate six fictional handoffs with JSON Schema, catch missing fields and a premature action, and see why a passing result still needs source review.

JSON SchemaTested local checksOctober 11, 2026
Read walkthrough
Resource · Context budgets · Tutorial

Your prompt has a budget.

Count two fictional context files locally with tiktoken, preserve the essential facts, and learn why a text count is only part of an API request.

tiktokenTested text countsOctober 10, 2026
Read walkthrough
Resource · Agent tools · Tutorial

Before you connect an agent, read the tool list.

Inspect a local MCP demo, review its inputs, and learn why declared hints are not permissions. Includes tested commands and a connection checklist.

MCP InspectorTested local demoOctober 9, 2026
Read walkthrough
Resource · Prompt evaluation · Tutorial

Make your prompt earn your trust. — build five checks with Promptfoo.

Grade fictional answers, catch two deliberate mistakes, and prepare an optional model trial. Includes a complete download and clear verification boundaries.

PromptfooTested fixture harnessOctober 8, 2026
Read walkthrough
Resource · Open source · Tutorial

Before you prompt, fix the input. — inspect your document with MarkItDown.

Convert a fictional document to Markdown, check what survived, and try a source-grounded review prompt. Includes the actual HTML conversion output and clear limits.

Microsoft MarkItDown Tested HTML conversion Source inspection October 7, 2026
Read walkthrough
Resource · Local AI · Tutorial

Less chat. More decisions. — build a local AI ticket classifier.

Turn a sample request into Billing, Technical, or Other with Ollama. Get the complete PowerShell example, test your categories, and keep a person in the review loop.

Ollama + Nimble Worked example Human review October 6, 2026
Read walkthrough
Resource · Tutorial · Free

Prompt Patterns That Hold Up — a worked walkthrough.

Watch one weak prompt get rebuilt, pattern by pattern, until it survives real inputs. The companion example to the Prompting Checklist.

10 patterns One worked example ~10 min read Printable
Read tutorial
Resource · Checklist

Security Checklist — ship React + TS + SQL Server safely.

A practical, no-hype application security checklist. Open it on new projects or audit what's already live.

11 sections 55 checks Saves locally Printable
Open checklist
Resource · Checklist

Prompting Checklist — write prompts that hold up under real inputs.

Role, task, format, examples, constraints, evals. Use it before shipping any AI step.

10 sections 50 checks Saves locally Printable
Open checklist
Resource · Checklist

Optimization Checklist — make it fast, cheap, and quiet.

Model choice, caching, batching, latency, token spend, observability. Use it when "it works" needs to become "it scales."

10 sections 50 checks Saves locally Printable
Open checklist
§ 04 · Training

Beginner AI Training

For people who don't know where to start.

AI is everywhere, but most people are still unsure how to actually use it in a practical way. I offer beginner-friendly AI training for individuals, teams, and small businesses that want hands-on help getting comfortable with tools like ChatGPT, Claude, Gemini, and Copilot.

Format 01

One 4-Hour Beginner Workshop

Best for a fast, hands-on introduction.

  • AI basics and how these tools actually work
  • Choosing the right tool for the right task
  • Writing prompts that get useful results
  • Email, document, and research workflows
  • Safe and responsible AI usage
  • Real-world examples from your industry
Format 02

Five 1-Hour Sessions

Best for step-by-step confidence.

  • Session 1: AI basics — what it is and how to think about it
  • Session 2: Prompting — how to ask for what you actually need
  • Session 3: Daily work use cases — email, docs, research
  • Session 4: Building repeatable workflows
  • Session 5: Safety, review, and what to do next
Get Started

Got a “could you build this?” idea?

Tell me what you wish your website or workday could do. A rough idea is enough. I’ll help you figure out what’s possible and where to start.