What to do if AI makes mistakes
What to do if AI makes mistakes Typical symptoms of AI issues in Chatterfy and what to check first: hallucinations, the wrong language, errors , высокий расход, проблемы Recognition, Variables, задерж
What to do if AI makes mistakes
Typical symptoms of AI issues in Chatterfy and what to check first: hallucinations, the wrong language, errors AI Routings — Deep Dive, высокий расход, проблемы Recognition, Variables, задержки и зацикливание flow., high usage, Recognition and Variables issues, delays, and flow looping.
Systematic AI improvement — iterations and metrics: How to improve AI quality. Layer architecture and module interconnections: How AI works in Chatterfy.
Catalog of typical issues
AI makes up facts, prices, and features
Check
• Restrictions — what the bot must not do — whether there is an explicit instruction not to make things up.
What to do
- Add the facts to the Reply Addition Info of the
AI Replystep.
- Lower creativity.
- Change the
AI Replymodel if necessary.
AI replies in the wrong language
Check
What to do
- Explicitly specify in the prompt: ALWAYS answer only in … (the required language).
AI Routings — Deep Dive leads to the wrong branch
Check
Whether the conditions of different Routings overlap.
The order of routes in the list.
Whether the wording of the conditions is too similar.
What to do
- Narrow the conditions.
- Reduce the number of branches.
AI is too expensive
Check
How many consecutive
AI Reply steps there are in the flow.The length and complexity of prompts.
What to do
- Use a lighter model for
AI Reply.
- Shorten and simplify prompts.
- Reduce the number of
AI Replysteps inside the flow.
AI ignores the step context
Check
Whether the step Goal is filled in.
Whether key data is present in Reply Addition Info.
Whether Global Legend conflicts with local instructions.
What to do
- Duplicate the critical context locally inside the step.
Recognition does not read photos or documents
Check
Photo mode = Recognition.
Recognition Tasks and Functions.
What to do
- Clarify the recognition task.
- For complex cases, switch to
Manual.
Voice messages are not recognized
Check
Voice = Recognition.
Audio quality and speech language.
What format the user sends the voice message in.
What to do
- Temporarily enable
Manualfor voice messages.
Flow moves on too early
Check
Whether the Requirements are too broad.
Whether there are any false Routings triggers.
What to do
- Tighten the conditions.
- Separate similar routes.
Tone of voice breaks
Check
Whether there are contradictions between the Global Legend and the examples.
What to do
- Reduce creativity.
- Add an example of the desired message to the
AI Replystep.
- Use a local Legend on the problematic step.
What to check for any issue
Most often, the cause is in one of these places:
- What broke
- Where to check
- Response text
AI Settings/AI Replysettings
- Flow branch
- Photos / voice messages
- Variables
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