Research

Applied research on agent reliability, evaluation systems, and governed automation.

AgentNexus Research

A public research home for the methods behind AgentNexus: how we test agents, structure autoresearch, and translate experiments into operational capability.

Research agenda

Research agenda

AgentNexus research is intentionally applied. The output should become better platform behavior, clearer evals, safer deployment gates, or reusable methods that other builders can inspect.

Reliability under delegation

How agents preserve intent, constraints, memory, and auditability across multi-step work.

Evaluation infrastructure

Scenario design, scoring rubrics, browser signal capture, and release gates for agent workflows.

Autoresearch loops

Repeatable measurement loops that improve prompts, tools, workflows, and governance policies.

Publication model

Methodology

Research posts will pair a clear question with the experimental setup, eval scenarios, scoring criteria, observed failures, and product implications.

The page will also host artifacts such as benchmark notes, release-readiness checklists, and postmortems from production agent workflows.

Autoresearch pipeline

From experiment to platform discipline

Future research updates should explain how a finding becomes a skill instruction, eval case, prompt revision, deployment guardrail, or product feature inside AgentNexus.