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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

Product managers who drive strategy, development, and launch of products.

Engineers and engineering leaders who build, deploy, and scale software systems.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Using Claude Code to build and ship software through an AI-powered command-line coding workflow.

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

Agentic Buildcamp - A Cognitive Gym for Building AI Agents — using AI Agents

Sr Data Engineer

Photonics Researcher

Product Manager

Software Developer

Game Developer

Director, Risk Models & Data Science

Manager, Data Scientist

Dev Lead

Researcher

You're already trying to build something. Agentic Buildcamp is where pragmatic builders - developers, founders, and operators - ship a real AI agent using the KnowledgeOps methodology: 12+ guided workflows that take you from problem framing to production, delivered through Sherpa-B, an MCP server that connects to your CLI coding agent (eg. Claude Code). You learn by building, using the same agentic process you're learning to build with.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 program.Note 2: If you are interested in a mentorship version of this program, reach out to <a target="_blank" rel="noopener noreferrer nofollow" href="https://mailto:bootcamp@ai.science">bootcamp@ai.science</a>🟢 WHAT WILL I BE ABLE TO BUILD?You’ll learn to design, build, evaluate, and deploy 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?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)Sprint demos will be live and interactive.

Self-directed program where builders ship real AI agents in 7 wks in Claude Code

Ship a Real Agentic AI Application

Experience Learning via Building with KnowledgeOps Methodology

Obtain Assets and Artifacts that Will Super-charge your Building

Most participants fail because they're not there to build. Outside of that we don't expect you to bring much prior experience 

Lots of enthusiasm to build

You will use a CLI tool (eg. Claude Code) as the primary way to learn and build (we provide resources for this)

Claude Code

Since we use coding agents heavily, you need good version control set up (we provide resources for this)

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.

Learn directly from aggregate intellect

aggregate intellect

Courses

Agentic Buildcamp - A Cognitive Gym for Building AI Agents — using AI Agents

Lightning Lessons

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

Building a Shared Human–AI Memory System

Building AI Agents: Bootcamp 2605 Public Demo

Build Agentic Apps Using Claude Code & Bootcamp Info Session

Adaptive Research Discovery with Obsidian and Agent Skills

Spec Stacking & Software Factories

Resources

Agents Playbook v2504

LLM AGENTS - Learning Path

Agents Playbook v2506

Agents Playbook v2506