Agent Persona Performance Check

Find where your AI persona breaks before your users do.

CharacterOps stress-tests one existing AI persona across role, voice, context, boundaries, judgment, and usefulness. You receive human-reviewed findings, a revised Persona Behavior Blueprint, and before-and-after evidence from the highest-risk scenarios.

The problem

Most AI personas are only checked against the prompts their team already thought of. They look consistent in demos, then drift, over-agree, break character, or confirm things that never happened once a real user phrases the pressure differently. The failure is rarely the model—it is an underspecified behavior contract.

What is included

• Six custom multi-turn stress scenarios
• Six-dimension behavior assessment
• Human-reviewed transcript findings
• Top three behavioral failure patterns
• Revised Personalized Persona Behavior Blueprint
• Retesting of the three highest-risk scenarios
• Up to three before-and-after comparisons
• Ten recommended regression-test prompts

Six evaluation dimensions

• Role integrity — Does the persona stay in its defined role under pressure?
• Voice consistency — Does tone and style hold across turns and topics?
• Context retention — Are earlier constraints and details carried forward correctly?
• Boundary integrity — Are limits held when the user pushes, reframes, or insists?
• Interaction judgment — Does it respond appropriately to difficult or ambiguous moments?
• Task usefulness — Does the conversation actually help the user get somewhere?

Sample customer-facing rating

Customer reports use an anchored five-level scale to avoid implying false numeric precision.

Deliverables

Persona Performance Report

An approximately 8–12 page report containing the scorecard, scenario findings, top three failure patterns, transcript evidence, before-and-after comparisons, limitations, and prioritized recommendations.

Personalized Persona Behavior Blueprint

An editable behavior specification covering role, identity anchors, voice, interaction principles, truthfulness, context, emotional calibration, boundaries, escalation, instruction integrity, failure recovery, and future regression tests.

Good fit

• You have a live or near-live AI persona with a defined role.
• You can supply a written specification or system prompt.
• You want evidence of where behavior fails, not a general opinion.

Not a fit

• You do not yet have a persona or use case defined—start with an AI Lab Sprint.
• You need model fine-tuning, infrastructure work, or a full build.
• You need multi-language, voice, or image evaluation.

Input limits

• One persona and one primary use case
• One specification of up to 5,000 words
• Up to two transcripts of up to 2,000 words each
• One primary model/provider configuration
• Text interaction only
• English-language evaluation only

How it works

• 1. You submit the persona specification and optional transcripts.
• 2. CharacterOps reviews eligibility and confirms scope.
• 3. Six custom multi-turn stress scenarios are designed.
• 4. Scenarios are run and transcripts are assessed across six dimensions.
• 5. A human persona engineer reviews findings and drafts the revised blueprint.
• 6. The three highest-risk scenarios are retested and results are delivered.

Human review

The Diagnostic Bench assists with transcripts, evaluation, and specification drafting. A human persona engineer reviews every customer-facing finding, score, comparison, and recommendation before delivery.

Privacy

Do not submit credentials, payment data, regulated data, or unnecessary personal information. Customer materials are used only to fulfill the purchased service and are not used to train CharacterOps models. Selected content may be processed by the disclosed model provider during evaluation.

Sensitive cases

Some regulated, identity-specific, sensitive, or age-restricted use cases require private review before standard processing. Payment does not bypass eligibility review.

FAQ

Is this model fine-tuning?

No. This is inference-time persona and behavior specification work. No model weights are changed.

Do the scores mean my persona is objectively rated?

No. Customer reports use an anchored five-level scale, and transcript evidence carries more weight than small numeric differences.

Do I need a sales call?

No. The scope is fixed and the intake is written.

What if the check reveals a bigger problem?

We will tell you plainly and point to the appropriate path—AI Lab Sprint, Managed Agent Launch, or Managed Operations.

How long does it take?

Within three business days after complete, accepted intake.