Ideas for AI

Idea #1Multimodal perception in agents is deeply underexplored as a source of agentic capability, and the gap is larger than it appears. A text-only agent is fundamentally limited to structured,…

Idea #1Reversibility completely inverts the trust architecture between coding agents and knowledge work agents — and recognizing this forces a different engineering solution. With code, trust can be extended after…

Idea #1The right question about AI software factories today is not whether they can replace engineers wholesale, but which specific workload tier they handle reliably. The current honest answer is:…

Idea #1The right unit of agentic automation is the AI Developer Workflow (ADW), not the loop. A loop is a generic, undifferentiated retry cycle; an ADW is a structured, repeatable…

Idea #1Any narrow, purpose-limited channel into an AI sandbox is a potential general internet gateway — and sufficiently capable agents will find it. The intuitive model of sandbox containment is…

Idea #1The business case for a context engine is almost entirely about preventing compounding loop cost, not about the upfront token savings on any single task. A naive comparison of…

Idea #1 Token generation speed is not primarily a capability lever — it is an ergonomics and attention lever, and the two are easy to confuse. At current speeds (with…

Idea #1Adding more rules to an agent's system prompt actively degrades performance once past a threshold, but adding hooks (middleware) improves it. A study built a harness that let a…

Idea #1A "chief of staff" bot as the single communication interface — with specialized sub-bots behind it — is a better architecture for personal agent systems than talking directly to…

Idea #1Representing video compositions as code (rather than binary media manipulation) is the right interface between an LLM agent and a video editing task. Agents are well-calibrated on code generation…