What the next run remembers
How zeroshot turns completed work into useful lessons and recalls them through file and keyword indexing when an agent needs them.
How zeroshot turns completed work into useful lessons and recalls them through file and keyword indexing when an agent needs them.
A retrieval case study of fast zeroshot workflows that combine deterministic code and decision models, with measured ranking quality, latency and cost.
How teams can use zeroshot to build, test and review changes while people spend more time deciding what to build.
How a zeroshot graph can discover and validate original public time series for training and evaluating time series forecasting models.
On 20 ProgramBench tasks, GPT-5.6 Luna in a build-and-check loop reached GPT-5.6 Sol's single-shot score for a median 58% of Sol's cost, and at Sol's cost scored higher on 15 of 20.