Claims

A persistent agentic research environment sustained near-daily use over 115 days, with 75,671 de-duplicated telemetry records across 96 active days (active-day fraction 0.835)

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? Over a 115-day observation window, recoverable main-agent telemetry contained 75,671 de-duplicated records across 96 active days, an active-day fraction of 0.835. → Anas H. Alzahrani 2026 q1 i? Active system time was estimated at 579.7 hours with a 30-minute capped-gap rule and 674.1 hours with a 60-minute sensitivity rule; these are system-activity estimates, not human labor hours. → Anas H. Alzahrani 2026 (2)

Evidence

Anas H. Alzahrani 2026

Anas H. Alzahrani, MD, PhD, MPH. (2026). Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study. arXiv preprint. https://arxiv.org/abs/2605.26870 doi:10.48550/arxiv.2605.26870

q1 · i? · design · r2

Descriptive telemetry analysis of recoverable main-agent session records in a single-investigator self-observed case study (Jan 31–May 25, 2026). The article reports "75,671 de-duplicated records" across 96 active days, ADF = 0.835; counts are lower-bound estimates because recoverable telemetry starts February 2.

"Recoverable main-agent telemetry contained 75,671 de-duplicated records (DRC = 75,671) across 96 active days, corresponding to an active-day fraction of 0.835 (ADF = 96/115; Table 2)."

Anas H. Alzahrani 2026 (2)

Anas H. Alzahrani, MD, PhD, MPH. (2026). Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study. arXiv preprint. https://arxiv.org/abs/2605.26870

q1 · i? · design · r2

Capped-gap active-time algorithm applied to sorted unique event timestamps from the same recoverable main-agent telemetry, with a 60-minute cap as sensitivity analysis. The article states these are "system-activity estimates, not direct human labor hours." No effect size is printed.

"Active system time was 579.7 hours using the primary 30-minute capped-gap estimate (ATE = 579.7 hours) and 674.1 hours using the 60-minute sensitivity estimate."

Discussion

Page metadata
Field Value
type claim
id persistent-agent-96-active-days-75671-records
title A persistent agentic research environment sustained near-daily use over 115 days, with 75,671 de-duplicated telemetry records across 96 active days (active-day fraction 0.835)
description A persistent agentic research environment sustained near-daily use over 115 days, with 75,671 de-duplicated telemetry records across 96 active days (active-day fraction 0.835)
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — anas-h-alzahrani-2026, anas-h-alzahrani-2026-2

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