Teach your agent the right answer, and know when it's unsure.
Save the questions your agent must get right, with the SQL you trust. Upsolve uses them as test cases and references, and scores every answer's confidence before it reaches a user.
New · Launch Month day 10, Fri 9 Oct 2026 · Upvote on Product Hunt →
Your agent answers the same question differently every time.
Words like "worst vendor" mean something specific at your company, and the agent has to guess.
Good answers from real users disappear into chat history instead of teaching the agent.
Every answer reaches the user looking equally sure, even when the agent reasoned its way to a guess.
From setup to production in three steps
Find a good answer
Open a past conversation in observability and check the question, the SQL and the chart.
Save it as a golden question
Keep the SQL as it is, or edit it first. For example, rank the worst vendors by spend only, not by order count.
Set a confidence threshold
Every answer gets a confidence score. Raise the threshold and low-confidence answers are held back from end users.
What changes with Upsolve Golden Questions
A vague question gets a plausible answer, and nobody can tell a verified number from a guess.
Verified questions guide the agent, and each answer carries a confidence score that can stop weak answers reaching users.
Everything that ships with Golden Questions
Golden question repository
A growing library of questions your agent should answer consistently correctly.
Test cases for your agent
Check the agent still gets your golden questions right after every change.
Confidence score
Based on matching golden questions, whether the fetched schemas and columns fit the question, and whether a good chart was produced.
Answer filtering
All answers go through by default. Sensitive teams can set a high threshold so users only see high-quality results.
One layer of a closed learning loop
Upsolve builds the whole stack for data agents that stay accurate in production. Every conversation feeds the next improvement.
Part of Upsolve Launch Month
Common questions
From real conversations. Open a chat in observability, review the SQL and save it, editing it first if needed.
Whether the answer matched golden questions and how correct they were, whether the schemas and columns fetched fit the question, and whether a good chart was produced.
No. All answers go through by default. You choose a threshold if you want to filter weak answers out.
Can't find your answer? Get in touch.
