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Everyone

Operators

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Customer Success

Project Managers

HR Professionals

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Your product was designed for humans. Your next million users won't be human.

Founder, Level 250 | 3x VP, API Products

Verisk

Moodys

Oracle

SmartBear

Precisely

Emmanuel Paraskakis

15+ years in APIs | Product Consultant for AI-Forward Companies | 3x VP PM

Cohort 1

Early Bird: $249 until April 12th! Use Code WAW33. 1 month of Claude Pro included. Your users are about to send agents to do their jobs for them. The agent won't click through your UI, sit through your onboarding, or follow your navigation. It will look for an API, an MCP server, a CLI, or a skill. If it can't find one, it moves on.Most products aren't ready for this. APIs built for human developers break when agents try to use them. Naming is vague. Errors don't help. Docs get skipped. Pagination fails. There's no MCP server, no CLI, and the only way in is through a UI that agents can't use.In this workshop, you'll audit your own product through the eyes of an AI agent. You'll see live demos of what agents actually do when they hit your API. They skip your docs, guess from training data, follow descriptions over schemas, and retry from errors. Then you'll run the same experiments yourself.Walk in not knowing if your product works for agents. Walk out with a 12-point agent-readiness checklist for your product, an API standards file you can share with your team, and a Skill you can install to design agent-ready APIs on your own.

API Product Managers who own APIs and need to know if agents can use them. Evaluate before you build.

Software Architects and Tech Leads responsible for API design and infrastructure. Prepare your platform for agent traffic.

Founders and Product Leaders hearing about agent-readiness from customers or competitors. Get a clear picture.

Everything you need to make your product work for agents. Designed, built, evaluated, and shipped in 3 days.

Cohort 9

Cohort 10

You've spent years perfecting your UI. Flowing experiences, beautiful screens, users glued to your product. Now your users are sending agents instead. The agent doesn't see your UI. It wants the most essential, irreducible form of your product's value - and if it can't get it, it moves on. To a competitor. To scraping. To telling the user it couldn't help.Your only choice is to give agents what they want: APIs, MCP servers, and the interfaces that deliver outcomes without a screen. You may have APIs, but they were built for developers who read docs and ask questions. Agents don't do that.This 3-day intensive course gets you building what agents actually need. Hands-on, not theory. You'll design agent-ready APIs, build and evaluate MCP servers, and ship an MCP App. Taught by a practitioner with the deepest background in APIs and developer products.You'll walk out as the person who's done this, not read about it. The architect who builds for humans and machines. The PM who shipped a working MCP server. The leader others come to when they need to know what's real and what's hype.

Forget how you build products. You're not building for humans anymore.

The 4 things agents want - and one they don't

Design APIs that are agent-ready

What drives MCP usability

Build two MCP Servers and test them

MCP Apps as the next product paradigm

Create an AI-Ready Roadmap for Your Organization

This is a fast-paced, hands-on course, and while you don't need to be a coder, it helps to understand HTTP basics or to have shipped an API.

Some API knowledge is required

Consider taking API Fundamentals for Product Managers first: https://maven.com/emmanuel/api-pm-fundamentals

If you need to brush up on your API skills:

We'll walk you through building with LLMs and AI Codegen tools, even if you've never used them before.

Little or no AI experience is expected

Software Architects &amp; Engineers who want high-quality, scalable tools that Agents will use long into the future.

Product Managers who want to stay ahead of the curve and quickly deliver API and MCP products that win in AI-dominated markets.

Founders &amp; Executives who want to transform their companies and fully leverage AI opportunities and a market of +1.3B users.

Your product needs an MCP server for agents to use it. Build it in 3 hours.

Intro price: $249 until April 21st! Use code BMP29.Every AI agent needs a way to reach your product. MCP is how they do it. Claude, Cursor, ChatGPT, Claude Code, all speak MCP. If your product doesn't have an MCP server, agents can't use it.But most teams don't know where to start. What tools should you create? How do you name and describe them so agents actually pick the right one? How do you handle auth, errors, and testing? How do you publish MCP so agents can find it?In this workshop, you'll build two MCP servers from scratch using AI. One from a real API using Zuplo and one from just an idea with Replit. You'll then test them with MCPJam, and see how LLMs and agents use them live.The Eval loop ties it all together: generate test cases, run them against real models, establish a baseline, fix what fails, and re-test until agents pick the right tool every time. We also cover authentication, security, and token costs: the real-world challenges you'll hit when your MCP server goes to production.Walk in curious about MCP. Walk out with two published servers and the skills to build the next one.

API and Platform PMs who need to decide when MCP is the right choice and scope their first server for their product

Engineers and Architects who want to rapidly build an MCP server to start testing tool calls

Technical Founders whose product needs to be discoverable by AI agents and must understand the UX and discoverability of MCP

Go from an idea to a deployed, standards-compliant API in one session.

Intro price: $249 until April 14th! Use code BAF28.You have idea for an API product. Build the first iteration inside of 3 hours so you can validate it in the market.In this workshop, you'll start with a prompt and a set of requirements. By the end, you'll have a standards-compliant API running behind a gateway, with observability, logging, and documentation. Built with AI, validated with real tools, deployed and live.You'll use a repeatable workflow: requirements to user stories, stories to OpenAPI spec, from API design to running code, behind a gateway with rate limiting and auth. Every step uses AI. Every step follows real API standards and best practices. Every step produces an artifact you keep.You'll design the API using a Skill that takes your requirements, domain model, and API standards as markdown files and produces a validated spec. You'll score it for quality and build it with Replit. Then you'll deploy it on an API gateway with authentication, rate limiting, analytics and documentation. You'll watch traffic flow through.Walk in with an idea. Walk out with a running API you can show your team, point an agent at, or build on tomorrow.

API Product Managers who want to prototype an API quickly so they can validate it in the market.

Software Architects who want to have a repeatable, AI-assisted API design workflow end-to-end.

Software Engineers who want to build AI-ready APIs the right way, adhering to standards.

Technical Foundations

Cohort-based courses

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