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Spec Better. Ship Smarter.

The best PMs in the AI era understand what's possible. You don't need to write the code—but knowing how AI features actually work means better specs, realistic timelines, and products that ship.

Why PMs Need This

AI features are showing up in every product roadmap. To lead effectively, you need to understand what's actually possible—and what's not.

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AI is Everywhere

AI features are in every product roadmap. If you don't understand them, you're flying blind.

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Engineer Respect

Engineers respect PMs who understand constraints. Speak their language, earn their trust.

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Better Specs

Better specs = fewer iterations. Know what to ask for and you'll ship faster.

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Spot Opportunities

You'll spot opportunities others miss. AI literacy is a competitive advantage.

Your Learning Journey

Here's your path to AI fluency. You don't need to code—you need to understand. Each step builds your intuition for what's possible.

1

Understand the Landscape

30 minutes

Focus on concepts, not implementation details. Your goal is to understand the vocabulary and mental models your engineers use.

Start Learning
Key vocabulary

Embeddings, RAG, prompts, tokens, context windows

2

See How AI Features Get Built

1-2 hours

Don't code along—just read and understand. Pay attention to the decisions being made and why. This is where you build intuition for what AI features actually require.

Read the Guide
Key insights

Streaming responses, rate limiting, caching strategies, cost management

3

Explore Your Domain

1-2 hours

Pick 2-3 guides relevant to your product area. Note the architecture patterns, user flows, and edge cases. These will directly inform your specs.

🛒 E-commerce 📚 EdTech 💼 Enterprise 🏥 Healthcare
What to note

Architecture patterns, user flows, edge cases

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Apply to Your Work

Ongoing

Now put it into practice. Use what you've learned to write better specs, have more informed conversations with engineers, and prototype ideas before writing full requirements.

  • Use these guides to inform your specs
  • Ask your engineers better questions
  • Prototype ideas with Claude/ChatGPT before writing the full spec

Questions You Can Now Ask

After this learning path, you'll be able to have informed conversations with your engineering team. Here are questions that show you understand what you're asking for:

"Should we use embeddings or keyword search for this?"
"What's our token budget for this feature?"
"How will we handle rate limiting at scale?"
"What happens when the AI gives a wrong answer?"

You Don't Need to Code, But...

Understanding AI is one thing. Feeling it is another. Even a small hands-on experience will change how you think about what's possible.

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Try Claude Code once, just to feel it. Ask it to explain some code or help you draft a spec. Experience the interaction firsthand.

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Build one small thing (even a prototype). A simple chatbot, a text summarizer, anything. The act of building changes your perspective.

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It changes how you think about what's possible. Once you've seen AI build something, you'll never write a spec the same way again.