Short answer
Click 🔍 Deepen Answer in the action ribbon under any AI reply to run a more thorough search. The original quick response stays visible, and the deepened result appears below it with clear labeling.
Full explanation
By default, AskTuring gives you a fast, balanced answer. When you need more depth, such as extra sources, tighter reasoning, or fuller citations, you can use Deepen Answer (🔍) to expand retrieval and analysis.
Where it appears
After every AI response, you’ll see an action ribbon with a 🔍 Deepen Answer button.
The tooltip reads: “Spend a few extra seconds searching project files for a more thorough answer.”
What it does
Reruns retrieval with extended search time and depth across your current Project (or Collection if you’re in one).
Produces a richer answer with additional supporting citations when available.
Preserves your original quick response.
How to use it (steps)
Ask your question as usual.
When AskTuring returns the response, click 🔍 Deepen Answer in the ribbon.
A new block appears below the original, labeled “🔍 Deepened Answer Result.”
Compare versions side by side; keep the one that best fits your needs.
For even more depth, click 🔍 Deepen Answer again to create Deepened Answer #2, #3, and so on (this is called progressive refinement).
ips
Use quick responses to orient; use 🔍 Deepen Answer when you need evidence, nuance, or broader coverage.
If you’re working with sensitive content, keep External Knowledge OFF (🔒) so deepening stays within your Project or Collection only.
Consider refining your prompt between deepens (e.g., “focus on 2024 policies only”) for sharper results.
Examples
A healthcare provider asks for a summary of patient intake SOP updates. The quick answer lists key changes; 🔍 Deepen Answer adds supporting citations to each step and flags conflicting procedures.
A marketing firm requests competitor messaging themes using a Project of past campaigns. The deepened result surfaces more examples from the files and links each theme to specific assets.
A manufacturing company explores supplier risk factors stored in a Project. Deepening adds notes from older audits and pulls in additional references from a shared Collection on compliance.
A financial services team reviews Q3 fee disclosures in a Project. The deepened pass reconciles discrepancies across multiple PDFs and provides page-level citations for audit readiness.