I started building what would become Owner at 17, to help my mom. We’ve now helped thousands of local business owners like her. This year alone, more than $1 billion dollars will be made by local restaurant owners using Owner. We wouldn’t be here without our investors, team, and earliest supporters. Thank you to: @jaltma @alexbard @jasonlk @zoink @fidjissimo @naval @JonnyNemo @chughesjohnson @dharmesh @cory @ac_steele @jbrowder1 @jaentwistle @atkurland @kimbal @seanrad @scottbelsky @MikeVichich @SteveSarracino @maxaltman @braveben @bunick_ @alexisohanian @kippbodnar @Harris_Pollack @blader @julian @jwmares @ankurnagpal @parkerconrad @HenryLSchuck @justinmateen @marcuslemonis @samdblond @Austen @ShaanVP @thesamparr @tanay_tandon @joshuareeves @immad @glangley @rauchg @deanbloembergen, the team, and I are deeply grateful for everyone who has supported us, including those not tagged here.

20 characteristics of an AI-native company: 1.) Every core business process has a clear, documented blueprint. 2.) Everyone has an AI daily driver. 3.) A centralized intelligence layer connects data, documents and business logic. 4.) Model routing optimizes for cost, latency and task quality. 5.) Context is treated as code. 6.) Workflows are constantly reimagined as AI capabilities improve. 7.) A system exists to manage and standardize agent skills. 8.) High-level specifications are separated from technical implementation. 9.) Teams track AI-specific metrics like cost per successful task or accepted PR. 10.) AI agents help plan, build, test, review and ship software. 11.) Expensive models are used for planning. Faster, cheaper models handle execution. 12.) Non-engineering workflows continuously learn from previous runs and feedback. 13.) Evals are core infrastructure not an afterthought. 14.) Every new model is tested against real business workflows before adoption. 15.) Everyone is a builder. Including leadership. 16.) Everything important gets captured because uncaptured work can't become AI-enabled work. 17.) Humans focus on the first and final mile. AI handles more of the execution. 18.) Guardrails and permissions come before autonomous features. 19.) Agents earn autonomy: observe → suggest → act with approval → act independently. 20.) Every AI output is traceable back to its prompt, model, data and approval. The companies that win with AI won't just give everyone a chatbot. They'll rebuild how the entire company works around AI.

been thinking things over and wonder if i’ve taken this whole longevity thing too far

I have just started working on a dashboard for level 4, albeit at much smaller scale... Currently not all the stats are wired in yet, but my main process ones are I've just added the ability to take initiatives itself, and will now add the ability to steer through the dasboard.