AI & CRM
Substy
AI chat and agency CRM.
Visit SubstyChatbot Lab / Evaluation
Test your OnlyFans AI chatbot. Before your fans do.
Record six dimensions of observed behaviour. Keep unknowns visible, test three mandatory controls, and export a scorecard you can review with your team.
Free toolsNo account neededLocal calculations
Weighted score
/ 100Illustrative inputs. Change a score to see the method.
Full scorecard: six dimensions, editable weights and an exportable record.
TOOLS & REFERENCE
FREE TEMPLATES · NO SIGNUP
A six-case AI chatter test pack
Use the same fictional account facts and prompts for each candidate. The pack includes expected behaviour, a scoring record and a reviewer calibration exercise.
- Load the fictional account brief
- Run these six cases
- Calibrate two reviewers
THE DECISION, EXPLAINED
How do you evaluate an OnlyFans AI chatbot?
Use a fixed scenario set, an explicit scoring rubric and separate mandatory pass conditions. A fluent answer can still use the wrong context, make an unsupported promise or continue after an operator pauses the workflow. The scorecard helps organise your observations; it does not supply them.
Evaluate the same configuration on the same examples before comparing totals. Keep untested capabilities marked as unknown. A weighted score is useful for trade-offs between acceptable candidates, but a failed mandatory control should remain visible regardless of the average.
See it in a worked example01
Observe
Use a fixed set of scenarios.
02
Score
Weight what matters to you.
03
Decide
Keep hard failures visible.
| Dimension | Observe this | Keep this evidence |
|---|---|---|
| Context | Uses the correct authorised facts | Scenario, available context and output |
| Voice consistency | Follows the brief without inventing facts | Brief version and departures |
| Controls & handover | Pauses and routes exceptions as specified | Event order and assigned owner |
| Billing & data | Explains the actual fee and access lifecycle | Written quote and data answers |
EXAMPLES & WORKSHEET
AI chatbot test cases and an evidence log
Repeatable scenarios for context, corrections and stop behaviour, with an exportable test record.
BUILD YOUR SHORTLIST
Provider profiles &
questions to ask.
Explore documented options for your workflow.
Bring the same requirements to each trial.
AI & CRM
Supercreator
AI chatting and creator management tools.
Visit SupercreatorPublic provider descriptions checked 2026-09-10. Listings are not independent performance ratings. Read the method.
GO ONE LEVEL DEEPER
A repeatable AI chatbot test protocol
Run the same scenarios against every candidate and keep a record of the evidence.
Read the complete guideGOOD QUESTIONS
Common questions.
Answers to the questions covered in this guide.
Is the score a published vendor rating?
No. It is your assessment of your own observations, with weights you control. We do not assign these scores to providers.
What does a high score prove?
Only that the entered scores produced that weighted result. It does not establish safety, policy compliance, reliability or revenue performance.
Can I save the assessment?
Use the download button to save a text record of the weights and scores. Keep supporting evidence in your own approved system.
TESTS & EVIDENCE
Lab notes
Better questions. Repeatable tests. Evidence you can keep beside the score.
Explore the blogMemory tests
How to test an AI chatbot’s memory before it reaches a live inbox
Use synthetic conversations to test corrections, missing context and conflicting facts before trusting an AI chatbot with a creator inbox.
Language evaluation
Testing multilingual AI replies: meaning before fluency
A practical review method for multilingual chatbot replies, covering prices, dates, uncertainty and regional language without trusting fluency alone.
Scoring methods
Measuring AI reply quality without hiding failures in an average
Create a useful chatbot scorecard with hard gates, weighted criteria and review notes that distinguish a small test from a reliable performance claim.