Sam Altman (CEO of OpenAI):
"Every night I have more than couple hunders agents running with GPT-6 Astra.
This is truly game-changing."
Hund of AI agents working while he sleeps, all monitored from his phone.
In 40 minutes, he reveals what you can build now - and what used to require an entire team.
Watch it, then read the article below
holy sh*t, someone mapped an entire company into 388 AI agent skills
every solo builder can steal the workflow
this repo covers 20 domains across engineering, product, marketing, finance, sales, compliance and research
the patterns:
→ challenge your architecture with a CTO persona
→ turn customer research into a product spec
→ build with engineering and DevOps skills
→ run QA and security checks before launch
→ plan content, SEO, pricing and distribution
→ model budgets and SaaS metrics
→ prepare compliance evidence as you grow
the architecture:
skills define how → agents define the job → personas shape decisions → orchestration connects the work
the part solo builders should steal:
idea → research → spec → build → test → launch → sell
one person can run the whole sequence with a clear job for their agent at every step
save this, then build a second brain for your company⭣
holy sh*t, someone mapped an entire company into 388 AI agent skills
every solo builder can steal the workflow
this repo covers 20 domains across engineering, product, marketing, finance, sales, compliance and research
the patterns:
→ challenge your architecture with a CTO persona
→ turn customer research into a product spec
→ build with engineering and DevOps skills
→ run QA and security checks before launch
→ plan content, SEO, pricing and distribution
→ model budgets and SaaS metrics
→ prepare compliance evidence as you grow
the architecture:
skills define how → agents define the job → personas shape decisions → orchestration connects the work
the part solo builders should steal:
idea → research → spec → build → test → launch → sell
one person can run the whole sequence with a clear job for their agent at every step
save this, then build a second brain for your company⭣
this paper is f*cking brilliant
a computer science paper builds the Digital Apprentice framework to grant AI agents earned autonomy
the result: per-skill authorization gates and inference-time quality control expand agent authority only when backed by empirical proof
the crazy part is how earned autonomy replaces blanket agent permissions
agents start at low-autonomy tiers, learn tacit expert methodology, and require explicit human authorization to graduate to high-risk tasks
most developers either grant full autonomous control or restrict agents to stateless copilot prompts
this framework establishes a progressive governance control plane for safe AI delegation
read the complete paper + article below
bookmark it for future reference
this paper is f*cking brilliant
a computer science paper builds the Digital Apprentice framework to grant AI agents earned autonomy
the result: per-skill authorization gates and inference-time quality control expand agent authority only when backed by empirical proof
the crazy part is how earned autonomy replaces blanket agent permissions
agents start at low-autonomy tiers, learn tacit expert methodology, and require explicit human authorization to graduate to high-risk tasks
most developers either grant full autonomous control or restrict agents to stateless copilot prompts
this framework establishes a progressive governance control plane for safe AI delegation
read the complete paper + article below
bookmark it for future reference
this is f*cking clever setup
64 AI agent sessions shared one memory of past decisions
the setup gave every session access to an append-only record of decisions, evidence and the reasons behind them
when an agent reaches a judgment call, it checks for a relevant recipe. that check also leaves a dated trace of what the agent was considering, so later sessions can find it
the field log: 178 recipe checks across 64 distinct agent and sub-agent sessions over 3 days
68% confirmed a prior decision and let the agent continue. about 4.5% changed the agent's action
the case that matters most: an agent decided a database index looked unused and kept its removal in an isolated commit. a human re-tested under realistic conditions, found the index was useful and reversed the change. the mistaken call, the challenge and the correction now remain in the shared record
the loop:
reach a judgment → check prior decisions → read the evidence → act within a reversible boundary → log the trace → verify the outcome → let the next agent inherit the *why*
this is one developer's self-reported field evaluation, not a benchmark or proof that 64 agents were running at once. the interesting design is the shared, inspectable decision trail
save this, then build a second brain for your product ⭣
this is f*cking clever setup
64 AI agent sessions shared one memory of past decisions
the setup gave every session access to an append-only record of decisions, evidence and the reasons behind them
when an agent reaches a judgment call, it checks for a relevant recipe. that check also leaves a dated trace of what the agent was considering, so later sessions can find it
the field log: 178 recipe checks across 64 distinct agent and sub-agent sessions over 3 days
68% confirmed a prior decision and let the agent continue. about 4.5% changed the agent's action
the case that matters most: an agent decided a database index looked unused and kept its removal in an isolated commit. a human re-tested under realistic conditions, found the index was useful and reversed the change. the mistaken call, the challenge and the correction now remain in the shared record
the loop:
reach a judgment → check prior decisions → read the evidence → act within a reversible boundary → log the trace → verify the outcome → let the next agent inherit the *why*
this is one developer's self-reported field evaluation, not a benchmark or proof that 64 agents were running at once. the interesting design is the shared, inspectable decision trail
save this, then build a second brain for your product ⭣