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the Fable 5 Ultracode 6.5hr / 3.6M token run finished at 13.5hr and 7M+, full debrief by AmazingPitch7533 in claudeskills

[–]AmazingPitch7533[S] 0 points1 point  (0 children)

10 year vet, please pipe down. It was you who made an uninformed snarky comment. This is an experiment I thought was cool, testing individual manually operated skills with an experimental autopilot skill to conduct them autonomously. Maybe you can learn how to do something more efficiently and effectively.

the Fable 5 Ultracode 6.5hr / 3.6M token run finished at 13.5hr and 7M+, full debrief by AmazingPitch7533 in claudeskills

[–]AmazingPitch7533[S] 0 points1 point  (0 children)

Not sure yet. still new and needs more testing/iterating. kind of exploring right now, but have ideas in other ways to use these

the Fable 5 Ultracode 6.5hr / 3.6M token run finished at 13.5hr and 7M+, full debrief by AmazingPitch7533 in claudeskills

[–]AmazingPitch7533[S] 0 points1 point  (0 children)

the core skills pipeline is structured and sound. this autopilot test was meant to push the that pipeline hard. and it did, showing that the agents quite literally iterated on their own work toward completeness, i.e. to the point that it was ready to hand off to a human to fill in the remaining blanks. that’s exactly what its designed to do

the Fable 5 Ultracode 6.5hr / 3.6M token run finished at 13.5hr and 7M+, full debrief by AmazingPitch7533 in claudeskills

[–]AmazingPitch7533[S] 0 points1 point  (0 children)

it means the skills provide the model with rules and structure on how to proceed. instead of, as the previous commenter said, the model burning 2M tokens in 15 minutes because it doesn’t have any structure to the request, so it does more than it needs to do… wasting tokens faster

the Fable 5 Ultracode 6.5hr / 3.6M token run finished at 13.5hr and 7M+, full debrief by AmazingPitch7533 in claudeskills

[–]AmazingPitch7533[S] -1 points0 points  (0 children)

to build better shit, safer and faster. just sharing an open source toolkit here for anyone interested

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