AAGAM
Agents, traces, and model routers already exist. The missing job is the closed loop: who works, at what cost, was it worth it, and should the architecture change.
What this is
An orchestrator. You describe a new problem in English. AAGAM decides who should work, what they may spend, whether the work was valuable, and whether the team should change.
What you do
Write the problem. Do not pick agents, tools, models, or a budget. That design is the product.
What this is not
Not a chatbot that draws a pretty graph. Not a fake Board. OpenAI executes research. AO codes in an isolated folder. Neatlogs observes. TensorMux routes models.
The loop
01
Understand
Turn English into a funded goal.
02
Architect
Choose who should work.
03
Allocate
Hold money so it is not spent twice.
04
Execute
Research plus one real coding session.
05
Evaluate
Score quality, evidence, confidence.
06
Evolve
V2 only if expected value is positive.