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JULLES CARREON
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AI Automation

AI-Powered Automation

Standard automation moves data. AI-powered automation makes judgment calls with it — reading an inbound email and drafting the right reply, extracting structured data from a messy PDF, summarizing a long document, or routing a support ticket based on what it actually says. I build these systems with Claude at the core, because I use Claude in my own build process daily and know how to get reliable, production-grade output from it rather than a demo that only works on the example you tested with.

What's included

  • Use-case scoping: where AI judgment actually beats a fixed rule
  • Prompt engineering and testing against your real data, not samples
  • Integration into your existing inbox, CRM, or document pipeline
  • Guardrails and human-review checkpoints where the stakes call for it
  • Ongoing prompt tuning as your content and edge cases evolve

How it runs

  1. 01

    Identify the highest-friction, highest-volume manual task

  2. 02

    Prototype the AI response against your real historical data

  3. 03

    Wire it into your existing tools with review checkpoints

  4. 04

    Tune accuracy over the first weeks of live traffic

Ideal for

Businesses handling high volumes of email, documents, or repetitive written responses where a system with judgment — not just rules — saves real time.

Pricing

Project-based or monthly retainer

Scoped per use case. Because AI systems benefit from tuning after real-world use, most clients keep a light monthly retainer for the first few months post-launch.

Tools

Claude (Anthropic API)OpenAI APICustom prompt pipelinesn8n / Make AI nodes

Booking new projects for October 2026

Let's map what a system built for your business actually looks like.

See the work
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