A Lantern in the Fog

How AI Teammates and One-Click Flows Move Teams from Research to Decisions

As the air turns crisp and the nights arrive sooner, the horizon can feel a bit foggy—especially when teams are staring down big bets and competing priorities. October is a season for lanterns, and in our world of collaborative leadership and facilitation, AI Teammates are exactly that. They throw light just far enough down the path to reveal the next steps with confidence. Not because they’re perfect, but because they are tangible. A first draft beats a first debate, every time.

If you’ve felt the growing tension between moving faster and staying customer-rooted, we’ve been there too. That’s why we’ve doubled down on AI Teaming—collaborating with AI in the room so teams can shift from abstract concepts to concrete artifacts in minutes. Ambiguity becomes visible, discussable, and solvable. You see what you want—and just as often, what you don’t. Either way, you move.

This month, we’re excited to showcase how Miro’s new AI features make collaborating with AI not just possible, but exceptionally practical for facilitators and leaders. We’re Platinum Sponsors at the Miro Canvas Conference, partnering to deploy facilitator-focused product innovation tools on top of these new features. These all roll out into the Miroverse soon; for now, there’s a waitlist as Miro completes the feature release process. Consider this your early lantern beam—what’s now possible and how to harness it for your team.

In the Room

Most organizations still treat AI as an individual productivity tool—something to use before the meeting to prep and after the meeting to summarize. That’s helpful, but it also isolates the learning and amplifies misalignment. You wind up with fast individuals heading in slightly different directions, creating more fog for the group. What teams need is shared momentum, not solo velocity. Bringing AI into the meeting—live, visible, and facilitation-ready—changes everything.

We’ve been experimenting with that shift for the past year. Some of you joined us at SXSW for our AI Teammates workshop, where we introduced AI personas to enrich team conversations. We imagined what it would look like to treat AI as a dynamic teammate, contributing perspective at just the right moment. Now, with Miro AI Flows and Sidekicks, that vision is ready for prime time. You can strategically place one-click buttons on your board to generate artifacts, synthesize research, or introduce a missing viewpoint—right in front of everyone. No toggling. No mysterious magic. It’s collaborative, transparent, and grounded in your team’s context.

This is a competency-building moment for teams. Instead of optimizing individual AI hacks, codify your best prompts and patterns as Sidekicks embedded in your templates and team spaces. That builds a shared library and spreads capability beyond a few power users. You’ll see your facilitation hygiene get sharper: clearer decision rules, tighter timeboxes, faster cycles of consent-based iteration. And most importantly, you’ll collectively build the muscle of collaborating with AI, not just using it.

Think of it like this: AI Teaming speeds up the “what” and “how,” giving you back time and attention for the “who” and the “why.” In a world filled with AI fog machines, your job as facilitator is to design a container where evidence is visible, decisions are crisp, and the team experiences AI as a lantern—lighting the next few steps together.

Activity of The Month: Instant Prototyping

Our new Instant Prototyping Template is a practical example of an AI-powered flow that transforms research insights and strategic vision into tangible prototypes. In minutes, you’ve created the full stack of artifacts needed to move from hypothesis to something the team can react to.

Then the facilitation begins. We pause for structured reviews and workshopping between each step—not to slow things down, but to build confidence. The first draft is a litmus test. It’s usually wrong in useful ways, surfacing gaps in context or fuzzy assumptions that would have stayed hidden for weeks.

Two practical tips make this flow sing. First, version as you go: duplicate frames before regenerating and version-label them (e.g., Flow v1.2). Second, trace decisions back to evidence. As you review outputs, highlight where a flow step or screen requirement connects to a direct quote, a research insight, or a JTBD. Decision clarity grows when the evidence is visible and near. You move faster because you trust the direction.

Speed matters. But what matters more is direction. Instant prototypes give you both—an initial draft to react to, and a concrete way to align around user-centered evidence. You’ll move from research insights to confident product decisions faster, with less debate and more learning. When the fog is thick, create a draft and let the team see the next step together.

From Draft to Decision 

When drafts are easy to generate, the bottleneck shifts from creation to decision. That’s a good shift—as long as you’re working with clear decision rules. We encourage teams to adopt consent-based iteration in place of endless consensus-seeking. Consent asks, “Is this good enough to try for now?” rather than “Do we all love this?” It privileges learning and movement over perfect alignment – small bets beat big arguments.

Put this into practice with lightweight, recurring moves. After each auto-generated artifact, timebox a three-part review: What’s useful here? What’s missing? What will we try next? Use dot votes to prioritize the top two or three changes and capture them as prompt updates or flow adjustments. Then re-run the relevant step. If a stakeholder says, “This isn’t it,” ask them to point to the evidence and translate their feedback into a prompt tweak or a research addition. 

Facilitators, this is where your craft shines. Name the decision up front. “By the end of this session, we’ll have a directionally correct prototype of onboarding plus a short list of open questions.” Timebox the creation of first drafts via the flow, then spend your energy facilitating the review and remix moments. Keep a visible decision diary on the board to track how evidence drove changes. The more you practice this loop, the more your team’s AI competency grows—and the more everyone experiences AI as a teammate rather than a mystery box.

Case Study: Breakout Buddy

We recently used the Instant Prototyping flow to build something our community has wanted for years—a Zoom app we’re calling Breakout Buddy. Many of you have joined our Facilitation Lab Mates events where we run speed networking and match people with accountability partners. The experience is energizing, but the logistics are painful. Zoom doesn’t design breakouts the way facilitators think. There’s no drag-and-drop. Timers are limited. You select number of rooms instead of people per room. And running patterns like 1-2-4-All requires manual, error-prone steps. We had a hunch that a facilitator-first tool could change the experience.

To build it, we gathered research from community listening sessions and Huddles, collected wish lists and gripes, and wrote an Opportunity Brief that detailed use cases like speed networking, group merge and split, and easy time extensions. We dropped all of that into the board and clicked once. The first pass got plenty wrong—exactly what we needed. It misinterpreted “preformatted” in a way that wasn’t helpful and didn’t yet account for saving and recalling group configurations. Those misses illuminated what we hadn’t explicitly included. We added precise requirements, traced the needs to specific quotes, and reran the flow. Within a few hours, we had a prototype that captured the core facilitator workflows, ready for a designer to polish.

Here’s what’s inside Breakout Buddy. You can rapidly set the number of people per room, merge or split groups to run patterns like 1-2-4-All, extend time with a single click, and mark participants who shouldn’t be assigned (think observers or folks with connectivity constraints). It remembers those choices so your cognitive load drops each round. The goal is simple—free you from tedium so you can focus on relationships, process, and purpose. The app is now in Zoom’s approval pipeline. We’ll offer it free to facilitators once it’s live; newsletter readers will hear first. In the meantime, the story behind it is the point: Instant prototypes helped us get from idea to clarity to build in days, not months, and kept us anchored in real facilitator needs every step of the way.

Run Your First Instant Prototype

If you want to try this with your team, block about 90 minutes and pick a clear decision to make. Load an Opportunity Brief and your best research, then run the flow together. The first set of artifacts—Research Insights, User Flow, Screen Requirements, Prototype—will land in minutes. Don’t rush past them.

Facilitate three quick reflections: What’s useful? What’s missing? What feels ready to test? Treat each draft as a conversation starter, not a verdict. Capture insights, update prompts, and re-run the step to see what changes. Keep early versions visible so you can remix later—seeing your evolution builds confidence.

Wrap with a simple consent check: Is this good enough to try for now? Record the decision and next steps in a quick decision diary. Even one or two cycles will shorten time-to-tangible dramatically and strengthen your team’s collaboration muscles.

Advanced Moves

Once you’ve got the basics down, keep evolving your flow:

• Codify what works. Turn great prompts into shared Sidekicks so others can build on them.
• Keep evidence close. Link research and prototypes so every choice traces back to insight.
• Remix intentionally. Combine the best of multiple drafts into a stronger version.
• Slow down to learn. Instant doesn’t mean reckless—pause for reflection where it adds value.
  

The goal isn’t to automate creativity, but to amplify it. Each run builds sharper instincts and a stronger rhythm for thinking with AI, not just through it.

The Facilitation Edge

The more AI accelerates creation, the more facilitation matters. Instant prototypes don’t eliminate the need for structure; they heighten it. Without clear decision rules, timeboxes, and roles, teams will still spin—only faster. The good news is that these AI-powered flows free you from tedium so you can lean further into the work that requires human judgment and relationship-building. You’ll spend less time herding tabs and more time helping people make sense together.

Treat your board like a living workshop. Place buttons where you want to trigger generative moments. Add visible agreement frames to capture consent checks and decision diaries. Name the decisions for each session and timebox the creation. Facilitate critique as remix. When the prototype is wrong—and it will be at times—frame it as a lantern in the fog that illuminates what matters next. Mistakes become maps.

And remember, bringing AI into the meeting is the unlock for team-level competency. Individuals optimizing alone will always struggle to align. Teams practicing together can develop shared habits that stick. We’ve been revitalizing our AI Teammate personas for Sidekicks so you can easily bring missing perspectives into the room. Imagine clicking a button to hear from a skeptical CFO persona or a privacy-conscious legal voice, grounded in your actual company context. That’s not science fiction anymore. It’s simply good facilitation—expanded.

Ready to bring this magic to your team?
Join the AI Teammates waitlist for early access when it launches in the Miroverse.