Teams | Collaboration | Customer Service | Project Management

Miro AI is more than a chatbot. It lives directly on your canvas and can generate Flows, Sidekicks, Prototypes, Docs, Diagrams, Sticky Notes, Tables, Images, and Mind Maps from simple prompts. In this video, we walk through every Miro AI capability so you know exactly what to reach for and when, whether you are running a sprint planning session, turning customer interviews into briefs, or generating an interactive prototype from a sticky note.

Most "AI transformation" conversations stop at strategy. The harder problem is what actually changes in how a team works day to day. In this episode of Miro Reframe, Josh Guice — Principal Architect at Liatrio — shares a year of real field notes from AI enablement engagements: watching product managers shape ideas before engineering ever sees them, replacing slide-deck training with pairing and teach-back, and learning that no workflow sticks unless the team structure around it changes too.

Leandro Barreto didn't set out to build a company. He set out to help his son. As a solo founder, Leandro built Epilog, an epilepsy tracking app, almost entirely with Miro as his AI product copilot. He started with sticky notes and a rough idea on a Miro board, then connected Miro MCP directly to his IDE so his AI coding assistant could pull the data model straight off the board. From there, the same AI reviewed the architecture like a solution architect, caught duplicated data and missing entities, and turned the fixes into a 22-item project roadmap.

David Balkind runs strategy workshops without booking a room full of people. As a Specialist Innovation Advisor, David built what he calls a Strategy Café Engine — a setup where Claude, connected directly to his Miro board through MCP, runs full multi-session strategy workshops. Claude plays the facilitator (David calls it MOIRA), works through a structured innovation canvas box by box, and models different stakeholder perspectives — founder, funder, customer — to pressure-test the strategy from every angle. David checks in at key checkpoints while the canvas builds itself live on the board.

Wireframing from scratch is the slow way. In this video, we walk through the PRD to Prototypes template in Miro, showing you how to paste your product requirements document, add an optional style reference, and let Miro AI generate a fully clickable mobile prototype in minutes. We also show you how to extend it into a desktop version and iterate until you have exactly what you need. From requirements to interactive prototype without the hours of manual layout work.

@cyberjasbytes turns early thinking into briefs, prototypes, and diagrams the whole team can respond to.

Inefficient product workflows slow down delivery, create confusion, and waste resources. In this video, we walk through four Miro templates that help product managers identify bottlenecks with Value Stream Mapping, structure development phases from discovery to deployment, streamline feature prioritization with Epic and Feature Roadmap Planning, and measure workflow improvements over time. Less friction. Faster delivery. More predictable outcomes.

In this episode of How We Work, host Dominik Katz sits down with Josh Morales from Miro to talk about how UX research actually happens inside a fast-moving product team. Recorded live at UXDX, the conversation goes behind the scenes on building a research practice, partnering closely with product and design, and the habits that help research findings truly shape decisions. Whether you're a UX researcher, product manager, or designer curious about how Miro approaches user research, this episode offers a candid look at the people and processes behind the product.

"Wait, Miro can do this?" That's the reaction Kusuma Sukma gets when he runs educational workshops for digital nomads in Bali — watching people turn a half-formed idea into an app they can actually click through, without writing a single line of code. In this community story, Kusuma walks through his AI-assisted product development flow: mapping out the idea in Miro, then connecting to Lovable via MCP to turn it into a working prototype. He used it to tackle a problem close to home — an app that lets locals in Bali report trash in their area and rallies volunteers to help clear it.

Why describe what you want when you can just show it? In this video, we show you how to drop any screenshot onto your Miro board, convert it into a fully editable prototype with one click, and extend it into a complete multi-screen flow using a single AI prompt, all without waiting on design resources or starting from scratch. Build from proven patterns. Iterate immediately. Align your team before dev even starts.