so - my approach is still being built and I'm still very hand wavy around how it is going to come together, but effecively I'm building pipelines of prompts. Rather than running our LLM sequences as long running sessions where the entire context gets loaded on every turn (a recipe for rot), we unlock the ability to introduce a thinking layer at each step in between the process.

So before each turn is sent into the LLM we (potentially) run a local process to assemble a bespoke context of only what is required for that specific turn.

If a tool call is not going to be needed on the prompt, we don't include it in the system prompt on that round.

I'm still formalizing the spec at the moment and think I'm about six months to a year out before I have a full human ready UI running.

This is the foundational paper I'm basing the tool on: https://github.com/AlexChesser/ail/blob/main/docs/blog/the-y... while the spec starts here: https://github.com/AlexChesser/ail/blob/main/spec/core/s01-p...

Essentially I'm trying to build an artificial neocortex and frontal lobe to provide a complete layer of Executive Function that operates on top of our agents - like Claude Code (or whatever else).

I'm basing the roadmap on the about 100 years of cognitive science. We've legitimately had names for all these failure modes (in humans) since the 1960's. We have observations of what we're witnessing in agents from 1848.

We have the roadmap from Psychology.