architecture

AI Pattern Library

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6+ Patterns • Updated Weekly

When you need to make AI decisions —
See how others solved it.

Patterns extracted from real implementations — including when they fail.

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TRIGGER

The situation that makes this pattern relevant

APPROACH

How teams shipped it in production

PATTERN

“The reusable principle you can apply”

check_circleWORKS

When to use it

cancelFAILS

When to avoid it

SOURCE

Where this pattern was observed

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Who Is This For?

Make AI decisions with confidence — patterns others already validated.

Engineers Moving to AI

AI is moving fast — hard to know where to focus

Your feed is full of AI content. New frameworks, new approaches, new "best practices" every week. You want to learn, but there's too much noise to know what actually matters.

You'll get:

Curated patterns from real implementations. Learn what works without drowning in content.

"Signal without the noise"

Engineers Moving to Product

Want to think beyond the Build stage

You're great at the Build stage. But scoping, research, launch — that's where features succeed or fail. You want to think like a product person, not just code like one.

You'll get:

Patterns across the entire product lifecycle — not just engineering.

"From builder to decision-maker"

Product Managers

You've read about AI — now you want to use it

Every PM is reading about AI. Few are actually applying it. The difference isn't knowledge — it's knowing which patterns actually apply to product work.

You'll get:

Concrete patterns for product work. Research, prioritization, launch — not just chatbot prompts.

"Be the PM who actually ships with AI"

Founders

Building with AI — but not sure what 'good' looks like

You're shipping fast, maybe using AI to help build. But you can't tell if your approach is solid or held together with duct tape.

You'll get:

See how others built it. Validate your approach before you're too deep to pivot.

"Confidence without the expertise"

Why Use This Library?

From consuming content → To building taste

BeforeAfter
Read 20 AI threads this week — can't name one insightEach pattern extracts the one transferable insight
Watched the tutorial, still don't know WHEN to use itEvery pattern tells you when to use it — and when not
Every AI decision feels like your first oneEach decision gets easier — taste builds
Nothing sticks from all the content you consumePatterns that stick — knowledge compounds
Saved 50 bookmarks — opened none when it matteredPatterns you recognize when it matters

Sample Pattern

Next time you're choosing an approach — you'll have this.

buildsettings_suggest

Constrain LLM Output to Fixed Categories

TRIGGER

Team needs consistent output format but LLM keeps generating varied structures. Classification accuracy matters more than creative variation.

APPROACH

Instead of asking LLM to "classify into categories", provide the exact category list and force selection. Use structured output (JSON mode) or constrain to enum values.

PATTERN

“Constrain LLM output to fixed categories when precision matters more than flexibility.”

check_circleWORKS WHEN

  • •Categories are known and stable
  • •Downstream systems expect specific values

cancelFAILS WHEN

  • •Categories evolve frequently
  • •Nuance matters more than consistency
ID: BLD-01
Source: Stripe ↗
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Patterns for Every Stage

Not just Build. Research to Iterate — AI patterns across the product lifecycle.

ResearchInterview analysis, market synthesisScopeRequirements, prioritizationDesignPrototyping, UX copyBuildCode generation, testingLaunchMarketing, positioning, distributionIterateFeedback analysis, A/B

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