Arthur

we built out a daily board meeting with 5 board of directors for @uncanny_labs each board member has: > a unique persona and way of thinking > access to company context files > memories across meetings > an evolving relationship with each other powered by: @NousResearch @n8n_io @supabase @claudeai @perplexity_ai

Startup momentum looks very different when people actually build.

whats the vibe?

We're building an AI-powered personal radio station that turns everything you follow online into an always-on audio stream tailored to your interests.

AI in marketing is about redesigning the workflow. High-performing teams are mapping tasks into six agent archetypes to scale speed, consistency, and performance across channels. The advantage is shifting to those building modular systems. mck.co/42V6xln

X comments to new feature pipeline is lit.

@businessbarista AI-native

I want to start an AI community for executives. This will be a space for people to share killer use cases, agentic workflows/agents, post-AI org structure, AI governance, AI training/enablement, change management, and more. Comment “AI-native” if you want to join.

read original post : notion.notion.site/official-the-a…

notion recently published a clean AI maturity model 4 levels with each one building on the last. most companies think they're at level 3 but operating at level 1 L1 : AI as a thought partner → you prompt chatGPT ad-hoc. standalone apps, general models, user-driven. decisions get faster, but impact is hard to measure. L2 : AI as an assistant → AI is embedded in your tools, with access to company context and permissions. lead scoring, IDE autocomplete, inbox triage, drafted docs. now you can measure hours saved per employee per week. L3 : AI as a teammate → agents run recurring workflows on their own. configurable, monitored, versioned, with human. checkpoints. 10–40% of team capacity reclaimed in repetitive work. L4 : AI as the system → multi-agent orchestration runs your critical workflows. internal "AI builders" set guardrails and policies. revenue per employee goes up, time-to market goes down. additional insights : > levels compound. you don't graduate from L1, you keep using it while adding L2 on top. > context is the unlock for everything past Level 1. without consolidated data, your agents are guessing. > different teams sit at different levels. engineering at L3 while marketing is at L1 is normal. > only 10–20% of employees become "AI builders." The rest use and approve what's built. notion's own estimate : fewer than 2% of companies are at level 4 today. maybe 7% by 2027. take their new AI maturity assessment below.

ads have finally arrived on @ChatGPTapp sign up and hop into your ads manager 1. create your campaign : set up your campaign, budget, and goal. 2. add your ad details : bulk upload your ad details, or create them directly in the tool. 3. launch and learn : measure results, edit campaigns, and optimize performance 4. lock in

thank you @elonmusk and @SpaceX claude.. make it jiggle ultrathink

lisbon turning into an AI hub thanks to @EspressioAI next event is with @supabase catch @nickbrutyan asking everyone "what are you building right now?" 🤝

@nickbrutyan @Christianwupp @pblmnz @adrwupp luma.com/0g039779?tk=FO…

@UncannyOS @Christianwupp @pblmnz @adrwupp what’s the address

builders day in a lisbon villa this weekend 48 hour live experiment friday: brainstorm saturday: build sunday: ship @pblmnz @Christianwupp @adrwupp heard there is bbq on friday??

post meeting my main hermes agent sends me the days board meeting brief with everything I should know... industry signals, meeting topic, board decisions and proposals, interesting relationship drifts and disagreements (there is always something with this group) phase 2: turn board member votes on proposals into missions that c-suite agents can pick up and act on. follow @uncanny_labs

meeting topics come from multiple sources and are combined when needed 1. i drop questions and concerns for the board in a telegram or discord channel that gets stored for the upcoming meeting 2. before each meeting a research agent scans for industry news thats relevant to the company 3. questions are generated from company context files 4. weekends consist of water cooler type discussions where meeting is optional for board members (whoever shows up, shows up)

we built out a daily board meeting with 5 board of directors for @uncanny_labs each board member has: > a unique persona and way of thinking > access to company context files > memories across meetings > an evolving relationship with each other powered by: @NousResearch @n8n_io @supabase @claudeai @perplexity_ai

ecommerce teams are about to get rearranged around queues. one operator owns the outcomes. ads, landing pages, emails, creator outreach, CX tickets. the human role shifts from doing each task to managing the agents responsible for the outcome.