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Aakash GuptaYou'll be left Behind as an AI PM If You Don't Use ChatGPT Apps
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At a glance
WHAT IT’S REALLY ABOUT
ChatGPT apps: MCP-powered embedded tools PMs must learn now
- ChatGPT apps embed interactive, branded mini-app UIs directly inside a chat, giving companies more deterministic control than relying on AI web search links alone.
- The underlying architecture uses MCP (Model Context Protocol) for tool calling plus UI “widgets,” enabling ChatGPT to fetch tool schemas, invoke functions with parameters, and render app interfaces in-chat.
- Colin demonstrates building a healthcare reviews manager app rapidly with his tool Chippy, then connecting it to ChatGPT via an MCP URL to test real tool invocation behavior.
- The episode emphasizes evaluation workflows—direct, indirect, and negative trigger tests—to improve discoverability and correctness by iterating on tool descriptions and metadata.
- They argue AI prototyping is a complementary PM skill (like basic Figma fluency) that accelerates stakeholder alignment and learning rather than replacing core PM responsibilities.
IDEAS WORTH REMEMBERING
5 ideasChatGPT apps are a new distribution channel with higher-intent traffic.
They can be surfaced inline during relevant user queries, and companies can deliver branded experiences that may convert better than traditional SEO traffic.
MCP is the core “USB-C” connector for agent-to-tool interoperability.
ChatGPT (or other agents) requests available tool definitions, calls the appropriate tool with parameters, and uses returned data/UI instructions to render an embedded experience.
UI widgets turn tool-calling from text output into interactive software.
Instead of only returning raw data, apps can return a widget/UI reference so users interact visually (maps, lists, dashboards) inside chat.
Prototyping speed matters because iteration friction kills learning.
Colin built Chippy to avoid the slow loop of rebundling UI, redeploying, reconnecting, and retesting inside ChatGPT for every small change.
Tool descriptions are product-critical metadata, not documentation fluff.
ChatGPT’s tool selection can hinge on wording; a single word like “sharing” in a “view reviews” description caused the wrong tool to be invoked.
WORDS WORTH SAVING
5 quotesChatGPT apps are basically a way for companies to bring in their own designs... directly into ChatGPT.
— Colin Matthews
Underlying ChatGPT apps is this protocol called MCP, or Model Context Protocol.
— Colin Matthews
This is a really underrated way to get more distribution.
— Colin Matthews
Theoretically… if I say something alluding to it… ChatGPT may decide to use my app.
— Colin Matthews
You can’t really necessarily predict how ChatGPT is going to interpret the way that you wrote your tool description… you should just test it and run evals.
— Colin Matthews
SPEAKERS
Colin Matthews
guestAI prototyping expert and builder of multiple SaaS apps, discussing ChatGPT apps/MCP and his prototyping tool stack.
Aakash Gupta
hostProduct-focused podcast host who interviews guests about AI and PM workflows and promotes his newsletter and cohorts.
High quality AI-generated summary created from speaker-labeled transcript.
