Use TCR every day and am finding this is also so true anecdotally. The ability of Fable to one shot something not only *feels* different, but you can also clearly see it in “real world” evals like this. A bunch of cool analysis a tool like TCR can unveil about model capabilities!
Here's a quick test we did: Opus 4.8 vs Fable 5
This is what Tenki Code Reviewer found:
Opus-written PR:
3 high-severity bugs across 22 files and 1,615 lines of code
Fable-written PR:
zero issues across 22 files and 1,134 lines of code
Same repository, same prompts.
Small sample, but this is worth paying attention to.
This is the first thing I've shipped that points in this direction. It won't be the last. If you coach, or know someone carrying a program alone → https://t.co/WypyEQDIt1
The most underrated metric in product onboarding is "time to wow."
Not time to value. Not activation rate.
The raw seconds between "I signed up" and "oh — this is different."
Miss that moment and the best product in the world still churns more than you think
Onboarding to BenchOS used to mean filling out forms about your program.
So we taught Coach Prime to just... ask you instead. 🎙️
Early look at voice onboarding 👇 (sound on)
The human keeps judgment + direction + oversight. The agent carries the load. The human defines point B, the agent takes the mental load of getting from point A to point B.
The BenchOS pilot launches today 🏀
An AI coaching staff for basketball programs that don't have one. Five specialists, one coordinator, every output grounded in your program.
Now onboarding pilot coaches for free during the beta
https://t.co/CHnKdEQlfI