... first time something breaks, and then never again. The reason is not laziness. There is no artifact to review. A permissions posture is not a file, it is an emergent property of a dozen files plus an org level default that does not live in the repository. Nothing to open means nobody opens it, and a quarterly reminder to "review permissions" dies because there is no page to go to. Which is why the org

... what teaches reviewers to stop reading. And your split is the cleanest statement of it I have seen. The vendor carries the mechanism, the org supplies the declaration. It has to be that way round, because a vendor-supplied canonical definition is just the agent's assumption with better branding. What happens when the org

... given output, a "cheap" agent turns out expensive because its work keeps getting redone, and approvals either swarm you or get rubber-stamped into meaninglessness. Those aren't intelligence problems. They're the exact problems a normal human org solves with roles, budgets, an escalation path, and a manager who owns the result. So the bet we're making with ClawTeams is that the right abstraction is an org

... reviewer's reasoning on failure. One toggle replaces authoring an AI Reviewer for every single criterion. Also shipped Per-engine   AI Reviewer   assignment.  Attach different reviewers to different engines instead of one set for the org. Organization-level timezone setting.   Reports  display in the timezone you configure for your org

... verified AI disclosure. others will not. over time the receipts with agent transparency outperform on credibility because the alternative (resumes claiming pure human work that we all know used AI) has already lost its signal. the platform does not force the choice. it lets the market price it. Comment from Mustafa Arian(@thenameisarian): TAM Network. an AI-native alternative

... from groups You can give a group its own AI context, and it now flows into chat, chart-editing, and automation agents whenever a member of that group is interacting. If different teams think about your data differently engineering versus sales versus

... added AI features to all plans, including Open Source. With v61 , we give you the controls for AI governance that make it yours to deploy safely. Some call it the Fun Police. We prefer: AI that s realistic for orgs of all types to roll out, including those who need tighter oversight over who gets to use it (bit of a mouthful though). Another big one is that our MCP server now supports question and dashboard creation! Check ... ... full thing: https://www.metabase.com/release... Comment from Jim Jeffers(@jim_jeffers): This is the right direction for BI AI. The hard part with dashboards isn t just can it generate a chart? it s whether the org

... problem is not that people are lazy or careless. It is that most agent systems are built for speed first. Oversight gets added later to satisfy a compliance requirement or a nervous investor. The human is on the org chart but absent from the actual decision. I have been thinking about this while building my own platform. We have one agent running most of our operations. I am the only person with authority to shut it down. That ...

... community I m validating an idea and would really appreciate thoughtful feedback. The problem I m exploring: In B2B and enterprise sales, deals often stall or die because sellers misread the org structure. You think you re talking to the decision maker. Turns out they re two layers away from budget authority. Or there s a hidden blocker you never identified. Mapping reporting lines manually via LinkedIn is time-consuming and mostly guesswork. Titles don t always reflect real influence ... ... idea I m working on: A tool that takes a LinkedIn company page and generates a visual org

... wanted to try it out. - some felt the problem wasn't that intense for them and didn't need a tool to fix it. - some liked the idea but didn't push for adopting the tool in the org. and after all this, we had 0 users. after carefully analyzing why this was happening, we went back to the whiteboard and wrote down are mistakes. - our product had too much friction to get started. users used to share few recordings ...

... while we iterate. What s next (coming by end of October) Bring-your-own storage (Azure Blob / AWS S3 / GCP) for secure ingestion Bring-your-own LLM (OpenAI/Azure/fine-tuned models) Team & enterprise features: PR tracking, issue monitoring, org dashboards I d love your feedback what should we prioritise next? Try it: explaingithub.com (or change any repo URL from github.com to explaingithub.com and see the magic). Comment from David strc(@david_strc): This new GitLab support is exactly what I needed ...

... spreads so much faster because it'd be interesting and fun. Comment from James Hawkins(@james_hawkins3): g2 doesn't feel authentic / have minimal idea how much traffic it drives. i think we pay them defensively as all our competitors seem to have gone nuts there so we looked super weird to not have a good presence. with product hunt itself, being really direct, b2b saas has felt painful to get as much traffic as productivity or hobby developer based ... ... stuff here regularly and get some traffic if it's good enough. if we build up lots of reviews etc along the way, that'd be awesome. the "pay g2 to let us look mature relative to our competitors