A8gent
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Operators · $997

AI Agent Agency Bootcamp.

Build an AI automation agency to $10K MRR in 90 days. Niche selection, offer design, outbound, discovery, scoping, pricing, delivery, and the agents you'll resell to clients.

Intermediate2.8 hr hands-on15 lessons2 free lessons7-day money-back

What you will learn

Pick a vertical niche that pays

Outbound + discovery + scoping scripts

Pricing tiers that survive client pushback

Reusable agent stack you can ship to multiple clients

Fast answer

The AI Agent Bootcamp is for people who want a working business workflow, not a pile of theory, and the outcome is one reviewed agent workflow with prompts, data inputs, tool actions, risk controls, and a rollout plan. Skill compounds when you learn on real operational work, and the bootcamp format creates enough pressure to choose one use case, build it, test it, and decide whether it deserves team adoption. You start by using the use case finder and savings calculator to pick a task with weekly volume, clear output, accessible data, and manageable risk. You then design the workflow, mapping trigger, inputs, model instructions, tools, approval points, outputs, and failure paths. Next you build the prompt system with role instructions, source priorities, output formats, examples, boundaries, and reviewer notes. You test against normal, messy, and edge-case inputs, then launch with documented ownership, monitoring, approval rules, and metrics. It suits founders, operators, consultants, and team leads, no coding required.

Your instructor
Deep
Deep
ML Architect & Full Stack Engineer

Machine Learning Architect and Full Stack Engineer building practical AI agent workflows for business teams. 10+ years shipping production ML across TensorFlow, PyTorch, AWS, and GCP. Active open-source AI contributor - and the person who ships every A8gent agent before it becomes a lesson.

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Why this course matters

AI agent skill compounds when you learn on real operational work. A bootcamp format creates enough pressure to choose one use case, build it, test it, and decide whether it deserves team adoption.

How the course works

01
Choose the bootcamp workflow
Use the AI agent use case finder and automation savings calculator to pick a task with weekly volume, clear output, accessible data, and manageable risk.
02
Design the agent workflow
Map the trigger, inputs, model instructions, tools, approval points, outputs, and failure paths before building in a no-code or custom stack.
03
Build the prompt system
Create role instructions, source priorities, output formats, examples, boundaries, and reviewer notes so the workflow behaves consistently.
04
Test against real cases
Run normal, messy, and edge-case inputs. Measure accuracy, review time, edits, and whether the result is better than the current manual process.
05
Launch with controls
Document ownership, monitoring, approval rules, and metrics before inviting the team to rely on the workflow.

Who this course is for

Aspiring agency owners, consultants, freelancers. If that is you, this course turns the topic into something you can actually ship and run, not just watch.

Mistakes this course helps you avoid

  • Trying to build several agents before one workflow is proven.
  • Using sample data that is cleaner than real work.
  • Skipping risk scoring because the task feels simple.
  • Failing to document the workflow for teammates.

Course FAQ

Who is the bootcamp for?

It is for founders, operators, consultants, and team leads who can bring a real workflow and want to turn it into a practical agent-assisted process.

Do I need to know how to code?

No. The bootcamp can be completed with no-code tools, but technical learners can apply the same workflow design to custom builds.

What will I have finished the bootcamp with?

You leave with one reviewed agent workflow running on real work, including its prompts, data inputs, tool actions, risk controls, and a rollout plan. You also leave with the judgment to scope the next workflow yourself. The point is a working process you can defend to your team, not a folder of notes.

How much time does the bootcamp take?

Plan for focused hands-on sessions rather than passive watching, because the value is in building and testing your own workflow. If you already understand the manual process you are automating, the build is quick and most of the time goes into testing against real cases and agreeing review rules. The exact pace depends on the workflow you bring.

What kind of workflow should I bring?

Bring a task with weekly volume, a clear output, accessible data, and manageable risk, such as lead research, support triage, reporting, or meeting follow-up. Avoid starting with anything that touches money, hiring, or customer messages without review. The use case finder and savings calculator help you pick a first workflow that is worth the effort but low-risk.

Can a whole team go through the bootcamp together?

Yes, and it often works better that way because each person can build a workflow for their own role while sharing prompts and review standards. A team cohort also produces a small library of proven workflows rather than a single one. The important discipline is still proving one workflow each before spreading effort across many.

What happens after the bootcamp?

You take the proven workflow into daily use with its documented owner, monitoring, and review rules, then repeat the pattern on the next task. Because you learned the design process rather than a single tool, you can scope and brief further workflows without starting from zero. The bootcamp is meant to leave you self-sufficient, not dependent on more courses.

Is the bootcamp tied to specific tools?

No. The workflow design applies whether you build in a no-code tool like n8n or Make, a native platform feature, or custom code. Tools change often, so the bootcamp focuses on choosing use cases, designing review, and measuring impact, which stay useful as the software moves on.

Commit

Get the course. Ship the agent. Refund if we're wrong.

7-day money-back. One email, no forms, refunded in 24 hours.