KNO

We'd reach for KNO when your team lives in Slack and keeps asking the same factual questions—about your product, internal policies, or technical concepts. It's a zero-friction way to cut context-switching: install from the marketplace, drop it in a channel, and it answers from 800GB of public web data trained on OpenAI's GPT-3. That coverage is broad, though it's not a substitute for your own docs until custom source training ships, which the vendor says is in development. In practice, that means early adopters should treat KNO as a smart search layer over the internet, not your internal wiki. Where it bites: KNO is not built for deep reasoning or long-form answers. If you need multi-step problem-solving or code generation, you'll be frustrated. Privacy is a strong point—queries are never tied to your identity—but that also means no personalization or memory across sessions. Compared to Guru or Stack Overflow for Teams, KNO is lighter on verification workflows and structured knowledge bases. Those tools let you curate and approve content; KNO just answers on the fly. If your team needs governance around answers, KNO isn't there yet. Who should skip it: organizations without Slack, teams that need on-premises deployment, or those requiring complex reasoning. And because it's free, you get what you pay for—support is minimal, and roadmap features like custom training are still pending. For a Slack-first team that wants quick facts without leaving chat, KNO is a practical, cost-free start. Just keep expectations in check on customization and depth.