Build Your Own Agent — No Code Required
Design and deploy an AI agent that handles a real job in your business — no code. You pick the job from 5 proven blueprints. Live by the end of Week 3. Get started — join Bodega Pass
Who this course is for
Operators who've used AI tools and are ready to go further — building an agent that autonomously handles something end-to-end. You've tried ChatGPT or used a workflow template. Now you want AI that runs a job without you managing each step.
What you'll build
A live AI agent handling a specific job in your business. You choose from a library of proven agent blueprints: lead qualification, content repurposing, support ticket triage, email outreach, or research briefings. You configure it for your data, test it against real inputs, and deploy it. It runs without you.
Course structure
| Week | What you'll do | What you'll deploy |
|---|---|---|
| Week 1 | Understand what an agent actually is — how the prompt architecture works, what makes it different from a workflow, and how to design one that produces consistent output. Review blueprints and pick your job. | A design doc for your agent: job definition, inputs, outputs, and success criteria |
| Week 2 | Build the prompt architecture. Learn the patterns that make agents reliable: structured output prompting, error handling in the prompt, and how to test against edge cases. Integrate with your tools and data sources. | A working agent in a test environment processing real inputs from your data |
| Week 3 | Deploy and run. Move from test to production. Set up monitoring. Run a calibration batch of 10–20 real inputs and tune for output quality. Document the runbook. | A live, deployed AI agent handling a real job in your business |
Agent blueprints in the course
- Lead Qualifier Agent — scores a raw lead list against your ICP and returns a prioritized shortlist with rationale
- Content Repurpose Agent — turns a long-form piece into LinkedIn posts, email snippets, and social hooks
- Support Triage Agent — reads incoming tickets, classifies by urgency, drafts a first response, and routes
- Cold Email Agent — researches a prospect, writes a personalized first-touch email, queues for send
- Research Briefing Agent — given a company or topic, returns a structured briefing in a consistent format
What's included
- Video lessons — one per module, focused on building your specific agent
- 5 agent blueprints — fully documented prompt architectures for each use case
- Prompt pattern library — the 8 structural patterns that make AI agents reliable
- Testing and calibration guide — how to evaluate output quality and improve it systematically
- Deployment runbook template — documentation for your live agent
- Community access — share and compare agent outputs with other operators building the same job
Prerequisites
Some prior AI tool experience is assumed — you have used ChatGPT or Claude, and ideally connected an automation tool like n8n, Make, or Zapier. If you are starting from zero, complete AI for Non-Technical Operators first.
Time commitment
3 weeks. 3 hours per week. Self-paced. The hands-on build work is the core — not the videos.
Common questions
- Do I need coding experience?
- No. All agents in this course are built using prompt architecture inside n8n, Make, or standalone prompt runners — no code. "No code" in the course title is literal.
- Which platform will I build on?
- Your choice of n8n, Make, or a standalone prompt runner. The course covers all three. n8n is recommended for most operators — it is the most flexible and the free desktop version has no usage limits during development.
- How do I pick which agent to build?
- The Week 1 exercise helps you pick based on two criteria: the job you do most repetitively, and the job where you can most easily tell when the AI output is wrong. Reliable agents require being able to verify quality. The blueprints are the five jobs that best meet both criteria for most operators.
Join Bodega Pass — includes every Academy course plus the full product library.