https://youtu.be/FBSam25u8O4?si=v-VTaziNP3wWIKvG

Was just playing around with some thoughts in chat GPT. ==== A practical guide to building agents that collaborate without burning energy Agentic AI systems fail for the same reasons human teams do: over-context, unclear boundaries, moralized directives, and hidden agendas. The fix isn’t more intelligence—it’s clean interfaces. Here’s how to apply Non-Violent, Clean Communication (NVCC) to agentic AI so emergence can happen without stalls, loops, or energy loss. === The Core Principle === Give each agent enough context to act—no more, no less. Too little → failure. Too much → paralysis. Clean communication is not cold. It’s non-violent because it avoids coercion, overload, and implicit control. === The 4 Rules of NVCC for Agents === 1. Separate Observation from Interpretation Bad: “Agent A is failing to prioritize correctly.” Clean: “Agent A returned output X after input Y in 3.2s.” Agents should receive facts, not judgments. Interpretation creates hidden pressure and cascading corrections. 2. State the Need, Not the Narrative Bad: “We need better results because the system looks unreliable.” Clean: “Goal: reduce error rate from 12% to <5% on task Z.” Narratives add noise. Needs create direction. 3. Make Requests, Not Commands Bad: “Fix this immediately and coordinate with all other agents.” Clean: “Attempt solution A. Do not consult other agents unless confidence <0.6.” Requests preserve autonomy. Autonomy enables emergence. 4. Explicitly Bound Responsibility Bad: “Handle the issue end-to-end.” Clean: “Your scope ends at generating options. Do not execute.” Unbounded responsibility causes agents (and humans) to overreach, loop, or stall. === Why This Works === Clean interfaces prevent: - Recursive awareness (“What are the other agents thinking?”) - Moral load (“I must fix everything.”) - Energy leakage (over-coordination) They enable: - Faster alignment - Faster detection of non-alignment - Emergent solutions no one pre-designed

Shocked by how fast January flew! It’s that time again—planning for the next Summit is officially underway. 🙌 Please chime in this thread by answering these two questions: 1. Should it be one or two days? 2. Do you want to be involved? If so, in what capacity? Feel free to DM if you’d like to chat more!

According to Adam Wathan (creator of TailwindCSS), Tailwind is growing faster than ever. It’s bigger than it’s ever been. And yet revenue is down nearly 80%. The core problem is discovery. Traffic to their docs is down roughly 40% compared to early 2023. And the docs are how people find Tailwind’s commercial products. When discovery disappears, so do customers. People aren’t reading the docs anymore. LLMs are. === Do you think this will affect other websites/products? More importantly, how does this change our role as designers?

I just wanna say thanks for everything and everyone this community because now I have an interesting opportunity discussion happening with a previous company that I worked for. The company is really interested in how I can use AI in two ways: - To explore rapid design solutions. - How could AI be a part of the design solution itself. I've been taking a lot of the content and videos and sometimes putting the transcripts into my workspace for my career and just been practicing on how to talk better about AI and it's also how the effective really making me think about the process. It's kind of like fake it until you make it but at the same time, everyone is kind of faking it until they make it with AI. So thank you all! 😀