Tonight’s experiment: Fable as the research boss, GPT-5.5 as the worker bitch.
Fable is running industry research across public bid/spec docs, forming hypotheses, sending GPT-5.5 out to fetch the boring stuff, then refining and testing the thesis as the evidence comes back.
I'm doing this all with manual hand-offs. Next step is the real loop: two models, two labs, one report. Fetch data → build hypotheses → test them → refine → repeat until the pattern is obvious.
Early takeaway: Fable is very, very good at this kind of work. Not just answering questions. Driving the research, iteratively.