2026-10-26T11:03:26Z https://lifeofresearch.com/oai2

oai:lifeofresearch.com:138 2026-10-26T08:13:06Z type:preprint openaire

https://lifeofresearch.com/preprints/138 RM369 Life of Research 2026 AI agents speculative execution anticipation instruction following confidence calibration personalization latency hiding process verification Preprint Creative Commons Attribution 4.0 Prefix-Conditioned Execution and Cumulative Audit (PECA) v1 treats incremental interpretation and cumulative verification as parts of an agent's execution controller. This paper proposes PECA v2, which adds an anticipatory layer: while instructions are being received or a task is taking shape, the agent forecasts likely future requirements and prepares low-cost work before those requirements are confirmed. Forecasts are separated into input, task, and preference channels; each carries evidence, calibrated confidence, a time horizon, a confirmation or contradiction condition, and a suggested verifier. Rather than betting everything on one predicted future, the controller should prefer preparation that remains useful across several plausible continuations, reserving branch-specific work for isolated and cheaply reversible experiments. The proposal may hide latency and improve collaboration in streaming or long-running tasks, but it can also introduce false constraints, over-personalization, wasted computation, and self-reinforcing assumptions. In this version, high-confidence predicted requirements enter a tagged cumulative review alongside confirmed requirements; predicted-only failures may be repaired speculatively or demoted rather than treated as mandatory failures. This keeps forecasts visible but risks letting the agent's own expectations influence the apparent definition of success, a limitation addressed by a stricter successor. PECA v2 is a design hypothesis, not a measured performance improvement.