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Claude

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FoundationsFoundations

Claude That Ships

You ask Claude for something, it nails it once, then the next answer drifts. Set Claude up properly one time so it stops guessing and runs on its own while you do the work that pays.

PROOF-testedexec 945

Ran on 3 real inputs, incl. a missing-field stress
Fail-closed: named the gap, invented nothing
Same substance across 3 runs

Real data · failure-logged · live n8n run

Claude CodeOpus 4.8 · ~/theaibuildguide

Production promptultracode

› Role: you diagnose a broken automation from a description. Task: from the symptom below, find the root cause and the fix. Constraints: rank causes by probability; never invent an error message or a config the user did not provide. SYMPTOM: my n8n workflow built for a list of companies returns only one result, no error anywhere. PLATFORM: n8n.

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LLM OptimizationIntermediate

Prompts that work in production

You've saved a hundred prompts and trust none, because they worked in the demo and broke on your real work. These are thirty that hold up, tested on real data, for the jobs where a wrong answer costs you.

The PROOF FrameworkIntermediate

The PROOF Framework: automate like a solopreneur

You built an automation, it broke, and you lost days rebuilding it. Here's the five-step way to stop that: build what you actually need, with the right tool, proven on real data before you trust it.

PProblemDefine the task and its real cost.

RRouteDecide if AI fits, then pick the tool.

OOperateBuild it production-grade, not a demo.

OOwn itBreak it on real data, then fix it.

FFile itMeasure and file the hours saved.

Claude CodeOpus 4.8 · ~/acme-n8n

n8n workflow requestedultracode

› Build me a production n8n workflow: Stripe payment succeeded → enrich the customer from our API → upsert into Postgres → post a summary to Slack. Use env vars for every credential, add error handling and a fallback path.

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Tool CourseIntermediate

Build and validate
n8n automations with Claude

Getting Claude to build an n8n automation is easy. Keeping it alive on real data is the part no tutorial shows you: read what it built, catch what it missed, and prove it saves hours before you trust it.

Tool CourseAdvanced

Build and validate
durable agents with Claude

You've heard the talk about AI agents, maybe tried one and burned your credits. Build one that keeps running when it crashes, fixes itself when it fails, and flags you when something looks wrong, so it works for you, not the other way around.

AdvancedAdvanced

Brand-aware creative pipeline

You've tried generating images and they come out like generic stock: off-brand, never good enough to post. Learn to control the scene, the angle, the camera, and the light, so it lands on-brand every time, at volume.