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This document serves as a guide for developing your agentic product. It is designed to help you systematically define your product's goals, requirements, and implementation strategy. By working through each section, you will refine your product idea, identify potential challenges, and develop a comprehensive plan for building and deploying your solution.

Agents Playbook v2506

This document serves as a guide for developing your agentic product. It is designed to help you systematically define your product's goals, requirements, and implementation strategy. By working through each section, you will refine your product idea, identify potential challenges, and develop a comprehensive plan for building and deploying your solution.

Agents Playbook v2504

Are you interested in building LLM Agent Products, but unsure where to begin, or if you have the necessary background knowledge? We have curated this learning path using 70+ hours of (mostly) free resources that you can use to:<ol><li>Get started on your journey of building LLM Agent Products</li><li>Prepare to get the most of this course or similar ones, and</li><li>Evaluate areas where there's a gap in your knowledge</li></ol> After entering your email, you will be directed to a Miro Board. Contact maven@ai.science if you have any issues with this resource.

LLM AGENTS - Learning Path

This isn't just another course. You'll walk away with tangible assets that advance your career and concrete skills that set you apart.

Founder at Aggregate Intellect

Amir Feizpour, PhD

10+ years in AI and Product Development

AI Agents for Pragmatic Builders - Claude Code, LangGraph, n8n

Photonics Researcher

Product Manager

Software Developer

Game Developer

Director, Risk Models & Data Science

Manager, Data Scientist

Dev Lead

Researcher

founder of my company

Note 1: Join my next <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/amirfzpr/agents-office-hour">Agents Office Hour</a> and ask about this bootcamp.Note 2: If you are interested in a mentorship version of this bootcamp, reach out to <a target="_blank" rel="noopener noreferrer nofollow" href="https://mailto:bootcamp@ai.science">bootcamp@ai.science</a> 🟢 WHAT DOES SELF-DIRECTED MEAN?It means that you consume the material we curated, build, and demo every 2 weeks while tapping into our help with any issues you face asynchronously via Slack. To make this as smooth as possible, we have set up all our coaching material and resources for common issues as Claude Code skills that will be available to you 24/7 as you learn and build. Sprint demos will be live and interactive.🟢 WHAT WILL I BE ABLE TO BUILD?You’ll build a functional application powered by LLM agents for a use case of your choice. Along the way, you'll learn to design agentic systems, and integrate required tools. By the end of the program, you'll have a working application ready to showcase in a public demo.▶️ <a target="_blank" rel="noopener noreferrer nofollow" href="https://tinyurl.com/llm-agent-demos">Playlist of previous public demos</a> 🟢 WHAT SHOULD I EXPECT TO HAPPEN DURING?Think about it like this: This is a 3-sprint product development + 1 week of prep for the public demo.🖌️ SPRINT 1 - DESIGN (wk 1 &amp; 2)🔨 SPRINT 2 - DEVELOP (wk 3 &amp; 4)🚢 SPRINT 3 - DEPLOY (wk 5 &amp; 6)🎭 PUBLIC DEMO (wk 7)

Self-directed Program to Help You Build an Agent-based MVP

How to identify opportunities for building AI agents

A Complete AI Agent Application

Real-World AI Agent Skills

Systematic Agent Development Process

Recommended but not required: eg. Claude Code

Coding co-pilots

No-code App Building

Recommended but not required: eg. LangGraph

Python Coding

Biz or Tech Entrepreneurs - You want to build an agentic MVP to test the feasibility of your startup idea.

Hands-on Product or Operations Managers - You want to build an agentic MVP to explore a new feature in your existing product / process

Developers, Data Engineers, Data Scientists - You want to build an agentic MVP to demonstrate your skills for career progression purposes.

Building AI Agents: Bootcamp 2605 Public Demo

Amir Feizpour

Founder @ Aggregate Intellect

What agentic systems can be built in 7 weeks

Skills necessary to build agentic systems

Tool stack involved in building agentic systems

How our 7-week program helps you build an agentic system

How you can go from a vague idea to a working MVP

Build Agentic Apps Using Claude Code & Bootcamp Info Session

Assess if agentic approach is appropriate for your use case.

Design agentic workflow for your use case.

Implement your agentic workflow using Claude

Leave with some workflow files you can immediately use

Learn more about our 7-week program to help you build

Harness Engineering: How Claude Code/ Codex/ Gemini CLI work

Mohsin Iqbal

Sr. MLE @ Alethia AI

The difference between agent tools (e.g., Claude Code) and the model that powers them.

What a “Harness” Really Means

Inputs, execution loops, tool use, logging, and iteration cycles.

Core Harness Components

A minimal, notebook-based approach to structuring AI workflows.

Building Your Own Harness

Setting Up Claude Skills as an Evolving Library

Ying Wang

Fractional CTO

How to think about Claude skills as a growing system rather than isolated tools.

From One-Off Skill to Reusable Library

Practical ways to turn recurring workflows and pain points into useful skills.

Generating Skills from Real Needs

Approaches for updating, refining, and extending skills as needs evolve.

Keeping Skills Fresh Over Time

How to organize skills so they remain understandable, testable, and reusable.

Versioning and Maintenance

Techniques for shaping skills around your own workflows rather than generic use cases.

Learn directly from aggregate intellect

aggregate intellect

Courses

AI Agents for Pragmatic Builders - Claude Code, LangGraph, n8n

Lightning Lessons

Building AI Agents: Bootcamp 2605 Public Demo

Build Agentic Apps Using Claude Code & Bootcamp Info Session

Harness Engineering: How Claude Code/ Codex/ Gemini CLI work

Setting Up Claude Skills as an Evolving Library

Building AI Agents: Bootcamp 2603 Public Demo

Build Agentic Apps Using Claude Code & Bootcamp Info Session

Resources

Agents Playbook v2506

Agents Playbook v2504

LLM AGENTS - Learning Path