I’m a big believer in the potential of agents living in iMessage/text
When the experience is done right, texting your favorite agent feels just like texting a friend
Introducing Isometric SF A pixel-art map of the entire SF Bay Area, over 1,300 square miles, all painted by Klein, a 4B-parameter image-to-image model, on @modal.
Explore the map now!
https://t.co/x1fulDcJ41
lots of conversation about agentic video editing
all you need to start are
> astra ultra or opus 5.5 (maybe terra now)
> davinci resolve (idt it knows capcut as well for now)
> skills you start building up over time. tell it to do as much headless as possible. then computer use with davinci resolve, with checkpoints for you to check color grading etc (still weak on S curves)
> create a folder to start collecting "template" videos of people who have reels/long form snippets you like
> work with the agent driver on your videos and update the skills at the end of each process of getting a decent outcome
> do this for a week
> you will have a 1 shot agentic video editor (and the fun of more templates to curate for future experimenting)
Your coding agent should be building 𝗮𝗿𝘁𝗶𝗳𝗮𝗰𝘁𝘀/𝘀𝗶𝘁𝗲𝘀 after your full working sessions:
Each harness, claude code, codex, cursor can read from all your other sessions and threads.
This is 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 for your agent to build you a recap, conceptual understandings of all the work, thoughts, brainstorming sessions you went through. And overtime, you can build that story of how your quarter or year progressed. You can use this as a way to reflect on your growth, how your hypothesis changed and whether you stayed focused to your plan.
𝗬𝗼𝘂 𝗰𝗮𝗻 𝘂𝘀𝗲 𝘁𝗵𝗶𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱:
- Your second brain
- Concept maps
- Learning guides
- Onboarding Guides to the projects
- Content for all the work you
𝗠𝗮𝗸𝗲 𝗶𝘁 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲:
- Each block should reference the specific session
- Cite each pr, ticket or doc for what got delivered
- Guide it be a "wrapped" with reflections and learnings
- Help you create an actionable plan for whats next
🎉 Introducing OpenDuet
Self-hostable, proactive AI agents that you own and works with ANY agent harness.
Includes:
- Build, generate, and edit live assets
- Human-in-the-loop approvals
- Computer use
- Mobile, Web, and Channels
Repo → https://t.co/DbzVdwLIkf
Powered by @CopilotKit and AG-UI.
Clone this template and customize it however you want. Enterprise-ready.
Anthropic is now recommending that companies REMOVE unnecessary subagents from their AI systems.
This is a pretty significant shift in agent architecture, with their team finding that a single agent equipped with skills can frequently outperform complex multi-agent systems, and one customer seeing roughly 2x faster execution.
The emerging rules of thumb:
→ Skills: Teach the agent HOW to do something, including procedures, expertise, and instructions.
→ Tools / MCP: Give the agent the ability to DO things through APIs, actions, and live data.
→ Subagents: Use for parallel work, isolated context, or tasks a single agent struggles with.
The interesting part is progressive disclosure. Instead of spawning specialized agents or stuffing everything into a giant prompt, one agent discovers and loads skills and tools as needed.
Their advice is to fold existing subagents into the main loop, turn their instructions into skills, expose their actions as tools, and run evals to see if performance holds up.
As models have gotten smarter, improving agent architecture is becoming less about what you can add and more about what you can delete.
https://t.co/DNq60Skkmc