Foundation Route

AI, do with me quality and risk checks for AI outputs

You will build a reusable quality-and-risk toolkit that catches AI mistakes before they reach your team, clients, or public. By the end of this route, you will have a scored checklist, a risk matrix, and an AI-powered reviewer prompt — all packaged into one document your team can use starting tomorrow.

15 steps ~1h 15min For all professionals Free
Start This Route → Free to start · No credit card

You've Tried AI. The Results Are Inconsistent.

AI gives you output. But you need output you can actually use. That gap is a skill — and it's learnable.

Before this route

  • You get generic AI outputs that need full rewrites before they're usable.
  • You copy prompts from the internet that rarely fit your actual situation.
  • Every new task means starting from zero — no reliable system, just guessing.
  • You're not sure which AI approach will work until you've wasted an hour trying.
  • AI sounds helpful in theory, but your results are hit or miss in practice.

After this route

  • Recognize the five most common ways AI outputs go wrong — hallucinations, bias, tone drift, missing context, and confidentiality leaks — by examining real examples you generate yourself.
  • Turn the failure categories you discovered into a structured, reusable checklist that anyone on your team can apply to any AI-generated content before it goes out.
  • Go beyond surface quality — build a framework that evaluates business, legal, and reputational risk of using AI output in different contexts.
  • You have a system that gives you usable AI output on the first or second try.
  • Your prompts are specific enough that AI understands your context every time.

What You'll Actually Do

This isn't a lecture. Each step has you doing something real with AI — and by the end, you'll have a finished result you can use immediately.

1
Steps 1–3

Spot common AI failure modes

Recognize the five most common ways AI outputs go wrong — hallucinations, bias, tone drift, missing context, and confidentiality leaks — by examining real examples you generate yourself.

2
Steps 4–6

Build your quality checklist

Turn the failure categories you discovered into a structured, reusable checklist that anyone on your team can apply to any AI-generated content before it goes out.

3
Steps 7–9

Create a risk assessment framework

Go beyond surface quality — build a framework that evaluates business, legal, and reputational risk of using AI output in different contexts.

4
Steps 10–12

Set up AI-powered review prompts

Use AI itself as a reviewer — craft prompts that make a second AI pass catch issues the first pass missed.

5
Steps 13–15

Package your team review toolkit

Combine everything into a single shareable document your team can use starting tomorrow — with a quick-start guide and a dry-run to prove it works.

Built for People Who Use AI at Work

You don't need to be technical. If you use ChatGPT, Claude, or Gemini for work — this route will make that time more productive.

Marketers

Content, briefs, and campaigns — done in hours instead of days.

Sales & BizDev

Prep calls, draft outreach, research prospects — in minutes.

HR & People Ops

Job descriptions, interview kits, onboarding docs — built, not copy-pasted.

Managers & Leads

Reports, presentations, and team comms — handled faster.

Founders

Move fast on everything — pitches, pages, research. AI as your first hire.

Ops & Analysts

Summaries, process docs, and structured output — from messy inputs.

How This Route Works

Read the Step

Each step gives you a task and a prompt to try. No fluff — just what to do and why it matters.

Do It With AI

Open your favorite AI tool. Paste the prompt. See the result. Then tweak it using the techniques you just picked up.

Stuck? Hit "Help"

The AI assistant knows what step you're on. Ask it anything — it sees your context and gets you unstuck in seconds.

"I was skeptical AI could actually help with my specific work. After this route, I use it every day — and the results are actually good."
— Early access user, operations manager

What You Walk Away With

Spot common AI failure modes

Recognize the five most common ways AI outputs go wrong — hallucinations, bias, tone drift, missing context, and confidentiality leaks — by examining real examples you generate yourself.

Build your quality checklist

Turn the failure categories you discovered into a structured, reusable checklist that anyone on your team can apply to any AI-generated content before it goes out.

Create a risk assessment framework

Go beyond surface quality — build a framework that evaluates business, legal, and reputational risk of using AI output in different contexts.

Set up AI-powered review prompts

Use AI itself as a reviewer — craft prompts that make a second AI pass catch issues the first pass missed.

Questions

No. If you've used ChatGPT, Claude, or Gemini even once, you're ready. This route works at any level.

Any of the major ones — ChatGPT, Claude, Gemini, or Copilot. The techniques in this route work across all of them. Use whatever you already have open.

About ~1h 15min end to end. You can pause and pick it back up — your progress is saved.

Every step has an AI assistant built in. It knows your context — what step you're on, what you've done so far. Just ask, and it gets you unstuck.

Courses teach concepts. This route has you doing real work at every step. You don't watch someone else do it — you do it yourself, on an actual task. By the end, you have a finished result and a system you can reuse.