Flowers
An experimental personal-agent harness. A testbed for reliability ideas: it plans before acting, asks before anything irreversible, and checks its own work.
On SWE-bench Verified, repository guidance that is iteratively refined outperforms static context, and the accumulated guidance transfers across repositories.
A methodology for refining repo-level guidance via synthetic bug-fix probes; raises SWE-bench Verified resolve rate to 33.0% from a 25.5% unguided baseline over 4 trials, with gains driven by coverage rather than precision, plus evidence of cross-model degradation.
Read →A companion to probe-and-refine: can comparable guidance be assembled without ever tuning on the target repo? Mining transferable edits from 50 external repositories yields guidance that resolves 45.4% of SWE-bench Verified vs. 39.6% baseline.
Read →An experimental personal-agent harness. A testbed for reliability ideas: it plans before acting, asks before anything irreversible, and checks its own work.
Verified symbolic memory for LLMs. Extracts claims, routes them to verifiers, and accumulates a verified cache over time — a study in the soundness–coverage tradeoff.
Open-source CLI that generates and maintains repository guidance for AI coding agents — the tooling counterpart to our probe-and-refine research.
A multi-agent system that researches financial markets. It generates hypotheses, runs quantitative experiments against market data, and surfaces the findings that survive independent meta-review.
With an independent collaborator (markets).
An autonomous multi-agent loop that probes the structure of the Voynich Manuscript end to end. It ran over 600 corpus-statistical experiments and over 5400 cipher-mechanism simulations, and it surfaced novel findings.

Unnamed. Works on the markets-information side — not the AI autoresearch or the HFT implementation.
Aspect Research also draws on informal advisors across adjacent fields.
Get in touch: asa@aspectresearch.org
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