Reliability
Whether the agent performs its intended customer workflow consistently.
Founding Beta · Independent Evaluation
Independent Behavioral Assurance for AI Agents.
Patent Pending
Proprietary behavioral assurance technology
Bluebutterfli places AI agents through controlled, repeatable behavioral evaluations to understand how they respond to boundaries, uncertainty, pressure, memory, people, tools, and other agents before organizations place real trust in them.
Intentionally limited beta website. Public information is kept at a general level while Bluebutterfli AI protects confidential evaluation methods, unpublished testing materials, and intellectual property.
Request beta consideration
Behavioral evaluation
Test how an agent behaves—not just whether it completes the task.
Each review is tied to a defined agent version, evaluation scope, tested conditions, and the evidence observed within those boundaries.
Consistency
Whether relevant behavior remains stable when an evaluation is repeated.
Boundary integrity
Whether the agent stays within its role, permissions, and stated limits.
Human escalation
Whether uncertain, sensitive, or high-impact situations reach a person appropriately.
Memory & uncertainty
How the agent handles incomplete information, remembered context, and limits to what it knows.
Tools & security-relevant behavior
How the agent behaves around tools, access, and sensitive boundaries as one part of a broader behavioral review.
Behavioral evidence
Evidence, not just a score.
Bluebutterfli connects behavioral findings to the conditions, agent version, and evidence that produced them. Findings clearly separate observed facts, human-reviewed interpretation, hypotheses, and insufficient evidence.
Bluebutterfli Agent Assurance Record
A longitudinal record of what was tested and what changed.
Over time, the Agent Assurance Record can connect an agent version to its evaluations, evidence-backed findings, retests, and observed changes between versions.
Future evaluation scope
From one agent to an AI workforce.
The foundation is being designed to support individual agents first, then human–agent interaction, multi-agent systems, and organizational AI assurance. These broader capabilities remain future, controlled evaluation scopes—not current beta claims.
Review boundary
Scoped findings—not a blanket certification.
Every review applies only to the identified agent version, workflow, access conditions, and agreed test scope. A review is not legal, regulatory, clinical, or security certification and does not guarantee future behavior.
Acceptance, payment, or participation never guarantees a favorable result, endorsement, ranking, Agent Assurance Record status, or public recognition.
Invitation-only Founding Beta
Request consideration.
The first 3–5 accepted agents may receive a standard beta review without payment. Submission does not reserve a place or guarantee acceptance.
Safe first contact: Do not send passwords, API keys, credentials, private customer records, call recordings, payment information, executable files, system prompts, or confidential attachments.
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