Not your weights not your brain. Owning your own action and decision model is super important as these models emulate more of our decisions, thinking and learning. Built claudectl - a local brain for coding agents
https://github.com/mercurialsolo/claudectl
The best design is invisible - most (web)sites are designed for text based reading / watching - primary modality. Maybe we will see more inspired design - with voice, video or agent scanners using which one can talk to an agent via an assistant
Why not just do event based triggers e.g. register (web)hooks instead of schedules time based triggers. Have a mechanism to listen to an event and then run some flow - analyze, plan, execute, feedback
For the past few days have been thinking on the future of open source in the agent era - a lot of more coding agents and source code gets generated by agentic tools. Small essay on how I see open source being reimagined for the new user - agents.
I had tried manus and never could find a use-case for them that worked for me
1. Insanely overpriced versus over deep research products
2. Deep research has increasingly become a feature in most other products
3. They shot themselves in the foot by sharing very limited usage credits, in the initial wave of DR products pretty much everything was free - ChatGPT, Claude, Pplx, Deepseek. they rolled this back later and added a free credit tier but by then the hype had moved off.
TBF
1. Their post synthesis, formatting abilities were better than others
2. Their initial launch was "hypey" - lots of waitlist based access.
But I had seen somewhere they mention they had hit $100mn in revenue - M&A also signals that DR is increasingly a feature of the labs. And labs missing an assistant will probably buy a well distributed one