Nucleus responds to natural-language prompts typed into the chat input at the bottom of the right-hand panel. The more specific your question, the more useful the response.Documentation Index
Fetch the complete documentation index at: https://docs.auditynow.com/llms.txt
Use this file to discover all available pages before exploring further.
What Nucleus can see
When you ask a question, Nucleus has access to the following data from the currently open project:- All interview responses and notes captured so far
- AI readiness scores and dimension ratings
- Project metadata (client name, industry, stage, assigned team members)
- Any findings or recommendations already recorded
How to phrase prompts
Be specific about scope
Vague questions return vague answers. Ground your prompt in a specific area of the audit.| Less useful | More useful |
|---|---|
| ”What’s missing?" | "Which AI readiness dimensions have no responses yet?" |
| "Summarize this" | "Summarize the data governance findings in two sentences" |
| "What should I do next?" | "What follow-up questions should I ask about the client’s MLOps maturity?” |
Reference the audit stage
If you are mid-audit, tell Nucleus where you are:“We just finished the leadership interviews. What themes stand out so far?”
Ask for structured output
Nucleus can format responses as lists, tables, or short paragraphs. Ask explicitly if you have a preference:“List the top three risks identified so far as bullet points.”
Example questions during an audit
During discovery:- “What gaps exist in the client’s current data infrastructure based on responses so far?”
- “Which stakeholders mentioned AI concerns? Summarize their key objections.”
- “Which dimension has the lowest score and what drove that rating?”
- “Are there any dimensions where the evidence is thin or contradictory?”
- “Draft a two-sentence executive summary of the audit findings.”
- “What recommendations should I prioritize for a client at this maturity level?”
Limitations
- Nucleus can only answer questions about the current project. Switch projects to ask about a different client.
- Responses are based on the data entered into Audity, not on external research or real-time information.
- Long or complex prompts may result in truncated answers. Break them into smaller questions if needed.
Next steps
- Memory and context, understand what persists across your session and what resets.