We've launched Plane Agents on Product Hunt, and I can't put into words how stoked I am. I use agents every day to review product flows, get weekly status reports, check our Wiki against what we’ve shipped, and take on a whole lot more. That’s why this launch is especially exciting for me. I’ve already started handing off entire workflows to Plane Agents and mostly coming back in to review what they’ve done. You can support us here:

The @OSSCapital portfolio is always cooking 🍳 … Congrats to @liquidai on the @CellCellPress launch! Congrats to @compai on the Series A launch! Congrats to @cap on the v0.6 launch! Congrats to @planepowers on the Agents launch! Congrats to @dubdotco on the marketplace launch! Congrats to @calcom on the v6.9 launch! Congrats to @W4Games on the Series B launch! Congrats to @drinkleisure on the launch with Target! Congrats to @RadicalNumerics on the Omnii bio AI model launch! Always be launching ♾️

We've spent several months building Agents, longer than any other feature at Plane. We're launching it this week. Over those months, @viharkurama and I spent hours with the team debating trade-offs and working from first principles. The hard part was fitting an agent into Plane's foundation and the way a real workspace operates. We set five requirements: 1/ Follow Plane's permission model, with access limited by workspace roles and the projects you choose. 2/ Draw from a shared workspace credit balance instead of personal AI credits. 3/ Work across supported open-weight and proprietary models. Self-hosted teams can bring their own API keys (BYOK) for supported providers. 4/ Make cloud API costs work at team scale. During the two-month launch promotion, Plane will cover most Agent usage on Cloud. 5/ Take on clearly defined responsibilities inside the team's existing workflow. I'm proud of the care the team put into v1. More phases are planned through the end of the year. Your feedback will shape the next one.

Testing the assignee dropdown in @planepowers. I asked Grok for dummy data and avatars to test it. It built a flight software crew. Stacked selections, search, clear checkmarks, and those tiny faces. A lot of care for one dropdown, exactly how we like it.

PSA: @PlanePowers is the only enterprise-scale knowledge and work management platform for self-sovereign AI conscious businesses — agents and teams working together to accelerate progress. 🎎🤖📈

For the first time, scientists have mapped the complete brain and central nervous system of an adult male fruit fly — a key model organism in science. 🪰 Working alongside HHMI Janelia Research Campus and the scientific community, @GoogleResearch scientists and researchers used AI to combine millions of 2D images into 3D neural shapes, reconstructing a record-breaking 166,000+ neurons. This foundational map of the adult male fruit fly brain can help accelerate our understanding of the brain, and is a major milestone in neuroscience.

Fable 5.1 hasn’t even been out for 24 hours, and my whole feed is about two things: how good it is and how fast it burns tokens. I’ve already hit the limits on my accounts. Some initial thoughts. 1/ 5.1 is the strongest first impression I’ve had from any Anthropic model. It feels more deliberate than Fable 5, sometimes almost Opus-5-like. Still, I haven't gained Fable 5 like trust for some tasks. 2/ I get why people are annoyed by the limits. For what I’m doing, they’ve been manageable. We built a new design system and asked 5.1 to migrate nearly 5,000 components. It has been running since last night, with Opus 5 as fallback. We hit limits faster than Fable 5 for sure. 3/ When the first prompt is clear and detailed, I usually don’t need a second one. The logic has been excellent so far. I haven’t done enough UI work with it to judge that side yet. 4/ Fable Orchestrator + @grok is a mad combination. Fable sets the task and checks the result. Grok does the work. In my runs, the orchestrator kept pushing Grok past the first acceptable answer until the checks passed. For the first time, I hit the limit on my Grok plan. --- For me, this puts Anthropic way ahead of OpenAI right now. At least until Astra arrives. The one thing I still love about OpenAI is its multi-agent harness. I hope Astra can retain that. I doubt Astra beats Fable 5.1 out of the gate, but you never know. If it does, OpenAI will have pulled off something huge.

You have 1,000 work items to ship. Your org size is 200. You have 10 teams. Your team size is 20. Now, apart from writing code or execution, tell me how AI can help you plan, track, (not build), test, and ship.

Individual AI = personal leverage. Team AI = shared context + lower coordination tax. The version of project management that breaks down is the one where humans are the only ones updating status and carrying context in their heads. A better system makes the work graph queryable and writable by both humans and agents, with permissions and audit logs. Issue tracking isn’t dead. Manual-only issue tracking is.

Introducing work item type hierarchy in @planepowers Enterprise Grid. Organizations can now define parent-child relationships once at the workspace level and apply them across every project. This gives teams a consistent structure to work in and agents a clearer system to reason over.