Emerging AI Software Resources

Discussions to expand your knowledge on Emerging AI Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find discussions from users like you.

Contents

Emerging AI Software Discussions

Question on: Miro

Does Miro use board content to train AI models, and can we block AI on sensitive boards?

Our CISO is asking for explicit clarification before we roll out Miro AI enterprise-wide. Are our boards or prompt inputs used to train Miro’s underlying LLMs? Also, what controls do admins have if we want to restrict AI on boards containing confidential architecture diagrams?

Data submitted through Miro AI capabilities is processed solely to generate a response from the AI model and return it to the user. 🛡️ Controls for sensitive workspaces Board & workspace toggles: Admins can turn off Miro AI features globally, or enable them only for specific teams from the Admin Console. Block AI via Guardrails: With Enterprise Guard and Intelligent Guardrails, admins can block all Miro AI usage on boards classified as sensitive so AI can’t be invoked there. Prompt protections: Enterprise Guard prompt blocking and Azure-based moderation help prevent prompts with sensitive data or harmful content from being processed. Bring Your Own Key (BYOK): For certain AI features, you can bring your own model access via your own API key so prompts are evaluated by your approved provider. 🔗 Learn More: https://help.miro.com/hc/en-us/articles/11277533556626-Miro-AI-Admin-security https://miro.com/ai-trust/

Answered: Anya Gonzales on August 11, 2026

Your answer

Question on: Miro

How are you using Miro AI for brainstorming without slowing down crowded boards?

Miro’s AI idea generation and automatic grouping of sticky notes has been a real time-saver in brainstorming and planning, and it fits well into the interface alongside Jira and Slack integrations. The main friction I’ve seen is that large, crowded boards can get slow and it becomes harder to find specific content, plus the feature set can feel overwhelming at first and some templates are locked behind paid plans. How do you keep big boards organized and fast while still getting value from the AI tools?

Thanks so much for this thoughtful question and for highlighting both the value and friction you’re seeing. Miro AI is designed to speed up the “messy middle” of brainstorming on big boards — generating ideas from prompts, expanding rough thoughts into sticky notes, automatically clustering related stickies into themes, and quickly summarizing large walls of input so teams can move faster to decisions and next steps. We see many teams using these AI capabilities right alongside Jira, Slack, and other integrations on the same canvas, so they can ideate, triage, and turn ideas into work items without leaving the board. To keep large, active boards both organized and performant while using AI, we recommend a few practices that our product is optimized for: working within clearly labeled frames for each topic or workshop segment, keeping very heavy assets (large PDFs, ultra high-res images, dense pen drawings) to a minimum, and splitting truly huge initiatives into several linked boards (for example: “Brainstorm,” “Prioritization,” “Roadmap”) rather than one “everything” board. This structure makes it easier to navigate with the board map and search, and it helps panning/zooming stay smooth even as you add AI-generated content. You’re also right that the richness of the AI feature set and templates can feel like a lot at first. Core Miro AI capabilities are available across all plans, and we’re continuing to simplify entry points (for example through intelligent templates) and to expand the library so it’s easier to start with the right pattern instead of a blank board. In parallel, we’re actively investing in performance improvements for large boards — recent updates have already made panning and zooming significantly faster on big canvases, with more optimization work in progress. Feedback like yours is exactly what guides those investments, so thank you for raising it. If you’re open to it, we’d love to learn more about your specific brainstorming setup so we can share tailored best practices and feed it into our roadmap.

Answered: Anya Gonzales on August 11, 2026

Your answer

New AI tools: Which emerging AI software platform gives the best value for startups?

When I started looking into which emerging AI software platform gives the best value for startups, the definition of “value” felt a bit misleading. It’s not just about lower pricing, but also how much usable output you get relative to the effort required to implement and maintain the tool.

For startups, that trade-off shows up quickly. Tools that look powerful on paper don’t always justify the time or resources needed to get them working effectively.

Based on my research, a few platforms seem to strike a more practical balance: Algolia, Miro, Relay.app, and Slashit App

Algolia (4.5/5, 448 reviews on G2): Adds value through AI-powered search and discovery, helping startups surface data quickly across products and internal tools. It’s especially useful for improving user experience without building complex search systems from scratch.
Miro (4.6/5, 12,669 reviews on G2): A strong fit for collaborative workflows, especially for remote teams. Its AI capabilities help speed up brainstorming, planning, and documentation without adding much friction.
Slashit App (4.8/5, 12 reviews on G2): A lightweight tool for handling repetitive tasks and quick automations. It’s simple, but that simplicity can make it easier to adopt and maintain.

Where do startups actually feel the gap between a tool’s potential and the effort required to make it useful?

Feels like the gap isn’t in capability, but in how much work it takes to get meaningful output consistently.

Answered: Harshita Tewari on April 17, 2026

Your answer