Ideas for AI

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…

Idea #1 Agents should be first-class citizens in team collaboration infrastructure — peers with the same identity, the same channels, and the same audit trail as human teammates (agentic twins).…

Idea #1Defining the full validation strategy before writing a single line of code is the highest-leverage thing you can do in AI-assisted development. The mechanism is straightforward: when a coding…

Idea #1 Naive fine-tuning — simply training a pre-trained model on a private corpus with next-token prediction — does not produce a model that can generalize over that corpus; it…

Idea #1 Agentic engineering and vibe coding can look identical from the outside — both involve an agent running unsupervised — but the internal stance is opposite, and the distinction…

Idea #1Design from the software development lifecycle down, not from agents up. A mental model shift is necessay for productivity. Instead of asking 'what agents do I need?', start asking…

Idea #1One eval harness answers three different questions about model replacement, and framing it this way prevents you from building three separate tools. The three questions are: (1) My current…