Papers, posts, talks and podcasts behind how A3T is built, each with a short note on why it matters.
Sample note: puts structured knowledge into the model’s attention instead of the prompt. Your commentary goes here: why it matters for A3T and what you’d do differently.
Sample note: the design behind the policy language A3T uses on every agent action. Add your take here.
Sample note: treats the context window like memory tiers. Compare with how A3T keeps agent memory outside the model.
Sample note: the open workflow format A3T agents are defined in.