Evaluation methods
Scenario design, scoring rubrics, recovery checks, and evidence that product owners can read.
Research
Applied research on agent reliability, evaluation systems, and governed automation.
AgentNexus Research
A public research home for the methods behind AgentNexus: what we test, how we score it, and what each finding means for product teams.
Research tracks
From experiments to operating guidance
Research posts pair a clear question with a method, findings, product implications, and artifacts where they are useful. The goal is evidence that helps teams make better launch decisions.
Deployment ControlsEvaluation MethodsGovernanceKnowledge GroundingOperationsReliability
Operational experiments
Studies that turn agent behavior, launch risk, and deployment controls into repeatable product habits.
Product implications
Every research note ends with what should change in the builder, docs, dashboard, or launch path.
Featured report
Scenario-based evaluation for agent reliability
A practical framework for testing whether an AI agent completes the right workflow under realistic constraints.
EvaluationReliabilityQA
AgentNexus ResearchMay 4, 20266 min read
Latest experiments
Methods and findings
Deployment ControlsEvaluation MethodsGovernanceKnowledge GroundingOperationsReliability
research / technical
Knowledge grounding changes how teams trust operational agents
Grounded agents should show the difference between product knowledge, policy constraints, and generated reasoning. That separation reduces launch risk.
AgentNexus ResearchMay 3, 20265 min read
research / mixed
What belongs in an AI agent deployment control surface
Deployment control surfaces should prioritize understandable state, safe next actions, and evidence links rather than raw infrastructure details.
AgentNexus ResearchMay 1, 20265 min read