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

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.

in lisbon you can do both 🤣

@satyanadella human-AI collaboration in the workforce means work itself needs to be redesigned

Every firm will need to reconceptualize work as they build agentic systems. As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done. An in-depth look from the team at what this shift means and key considerations for every business: microsoft.com/en-us/worklab/…

@supabase hyped for this one

Join us in Lisbon tomorrow night luma.com/dev-hangout

pay.sh is basically an API store for agents. instead of creating accounts, managing keys, and subscribing to tools, the agent pays per request from a wallet. agentic-first commerce

mobbin is basically a searchable library of real product screens and flows. now claude can reference real ui designs while building. only way we’ll know if your app is vibe coded is if we actually look at the spaghetti code 🤣

@nghoihin i’ll check it out

@UncannyOS For MCP servers that actually ship value: typed-graph + semantic store + 16 tools = github.com/Beever-AI/beev…

CopilotKit just gave the agent stack its third open-source layer. > MCP lets agents use tools > A2A lets agents talk to other agents > AG-UI lets agents work with people inside software