Ten questions across the five pillars that decide whether a chatbot ships on time or lives in pilot purgatory. Takes four minutes. Returns a score and the specific gaps to fix.
0 of 10 answered0%
01
Data
Do you have a centralized, up-to-date knowledge base?
02
Data
Can you identify the top 20 questions users will ask?
03
Evals
Do you have a labeled eval dataset for response quality?
04
Evals
How will you catch regressions when prompts change?
05
Guardrails
How are you handling prompt injection and jailbreaks?
06
Guardrails
How do you handle PII in inputs or outputs?
07
Team
Who owns the bot after launch?
08
Team
Do engineers have experience with LLM-backed systems?
09
Cost
Do you have a monthly cost model?
10
Cost
How is response latency measured and monitored?
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