LIVE
Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|Google's AI gives evasive answers about who won the 2020 US election28/10/26 · Google|NVIDIA introduces Nemotron 3.5 Transcribe, a promptable multilingual transcription model28/10/26 · NVIDIA|OpenAI and ServiceNow deepen partnership on enterprise workflows28/10/26 · OpenAI|Failed startups' data finds a second life training AI models28/10/26|Anthropic expands AI for Science program to 20 foundations and research institutions28/10/26 · Anthropic|Anthropic shares early results on using Claude to accelerate drug development27/10/26 · Anthropic|GEPA-Curator: Filtering Failures to Better Train LLM Agents27/10/26|Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|Google's AI gives evasive answers about who won the 2020 US election28/10/26 · Google|NVIDIA introduces Nemotron 3.5 Transcribe, a promptable multilingual transcription model28/10/26 · NVIDIA|OpenAI and ServiceNow deepen partnership on enterprise workflows28/10/26 · OpenAI|Failed startups' data finds a second life training AI models28/10/26|Anthropic expands AI for Science program to 20 foundations and research institutions28/10/26 · Anthropic|Anthropic shares early results on using Claude to accelerate drug development27/10/26 · Anthropic|GEPA-Curator: Filtering Failures to Better Train LLM Agents27/10/26|
Pluginofficial publisher

Miro AI

Plugin : A set of capabilities installed into an AI application or a host · requires miro

Summaries, clustering and diagram generation inside the Miro whiteboard.

Useful if your team is already on Miro, not a reason to switch to it.

Overall score
7.2 /10
Security: one caveat, see the card
Utility
7.0
Reliability
6.0
Security
One caveat
Ease
1 click · Beginner

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

Teams waste time re-explaining their context at the start of every working session. Miro AI uses the content already on the whiteboard as a starting point, avoiding the need to start from scratch each time.

In practice, the tool analyses the canvas content (sticky notes, diagrams, brainstorming notes, retrospective outputs) and can generate summaries, cluster ideas, produce diagrams, timelines, kanbans or clickable prototypes. Agents called Sidekicks work directly on the board and can connect to external tools such as Slack or Jira to enrich the context.

Miro AI is aimed at product, design, strategy or technical teams that already use Miro as their central collaboration space. Supported use cases include strategic planning, research synthesis, competitor analysis, campaign creation and technical architecture documentation.

For someone who does not use Miro on a daily basis, the AI features alone do not justify adopting the platform. The tool remains deeply tied to the Miro ecosystem and is not designed to work independently.

What it offers

  • ·Automatic summary generation from canvas content.
  • ·Clustering and visual organisation of ideas from brainstorming sessions or retrospectives.
  • ·Creation of diagrams, timelines and kanbans directly on the whiteboard.
  • ·Sidekick agents that build on the canvas using the team's context (paid).
  • ·Multi-step AI workflows called Flows, shareable across the organisation (paid).
  • ·Connection to external tools such as Slack, Jira or Granola to enrich context (paid).
  • ·Generation of clickable prototypes from sketches or concepts (paid).
  • ·Pre-built Sidekick libraries for specific use cases, customisable to team needs (paid).

In practice

Price
Freemium
Commercial use
Commercial use: paid plan
Available on
web
Host
miro
FR interface
Yes

Security and data

Rating
Security: one caveat, see the card
Your data
Data with the vendor
Maintenance
Active

Links and repository checked on 25 October 2026 · added on 1 April 2023

How to install Miro AI

1. Go to miro.com and sign in to your account (or create one for free). 2. Open or create a whiteboard in your workspace. 3. Access AI features via the dedicated menu in the canvas interface. 4. For Sidekicks and Flows, check that your plan includes these features before activating them. 5. If you want to connect external tools (Slack, Jira), configure Connectors in the workspace settings. 6. Security note: review data residency settings and access controls in the admin panel before sharing sensitive information on the canvas.

In the same category

Whole category Design & slides →