OpenAI Dots is insane for building a 24/7 AI company...
I mapped the whole OpenAI Dots architecture into one paper: agents, models, tools, memory, delegation, guardrails and the revenue layer.
Here are the 10 steps:
step 1 → stop treating Dots like a chatbot. each Dot runs in a persistent cloud environment with its own browser, terminal, files, memory and scheduled execution. close the laptop and the workflow keeps moving
step 2 → hire by responsibility. give every Dot one clear domain, dedicated sources, a working style, an approval boundary and a trigger. a "general helper" has no role, only undefined context
step 3 → make one Dot the orchestrator. you give it the objective, it decomposes the work, delegates to specialized agents, checks their outputs and merges everything into one deliverable
step 4 → stop being the courier between agents. with isolated delegation, each worker gets only the context and tools it needs, executes in its own environment, then returns a structured result to the orchestrator
step 5 → connect the real business stack: cloud browser sessions, Slack, Microsoft Teams, Google Workspace, internal dashboards and APIs. a Dot without tools is still just a conversational layer
step 6 → put the company on a clock. recurring routines and event triggers turn one-off tasks into persistent operations. research, monitoring, reporting and pipeline checks can run while nobody is online
step 7 → automate the reversible, gate the irreversible. let agents read, research, analyze and draft autonomously, but require human approval before messages send, money moves, records change or production code ships
step 8 → route intelligence by cost. keep the strongest model on orchestration, conflict resolution and final audits, and let cheaper high-context models handle background research, classification and repetitive execution
step 9 → give the company shared memory. project specs, approved claims, pricing, decisions and requirements live in one persistent workspace, so every agent works from the same source of truth instead of rebuilding context from old chats
step 10 → connect the loop to revenue. research finds the signal, outreach creates the opportunity, execution moves the work forward, analytics measures the result and monitoring discovers the next action
AI stops being something you open when you need an answer. It becomes an operating layer that keeps economically useful work moving after you log off.
Copy the complete OpenAI Dots architecture blueprint, then read the full roadmap below ↓
Sam Altman, CEO of OpenAI:
“You don’t really need to write prompts anymore.”
In just 27 minutes, he explains how to use ChatGPT in ways most people still haven’t discovered.
This talk was originally shared with Stanford students, and after watching it, I realized I was probably using only a small part of what ChatGPT can actually do.
Watch the full talk, then explore the guide below on building a system that can prompt itself.
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
@Marc_Mov Lo de hoy aqui en Málaga es de aplaudir, nadie por las calles, apenas hay tráfico, casi todo cerrado, 1000 personas desalojadas por precaución, lo nunca visto, pase lo que pase, chapó por todo y los avisos que nos entraron ayer noche a todos, en 2/3 horas espera lo gordo
Si quieres aprender Git y GitHub, he añadido una nueva parte. Ahora son 7 horas en vídeo.
→ Git y GitHub desde cero
→ GitHub Actions
→ GitHub Copilot
Por supuesto. GRATIS ↓