Users can now get instant answers to questions about the platform and documentation at any time. The AI assistant is available 24/7 and helps developers onboard faster, resolve issues quickly, and understand how to use Bult.ai more effectively.
More improvements to our support experience are on the way.
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This makes a lot of sense docs are usually where people get stuck. How are you handling cases where the AI doesn’t find an answer? Fallback to human support or community threads?
@syed_hassan9 Great question. If the AI can’t confidently find an answer, we fall back to human support. The assistant is designed to know when it’s unsure and escalate rather than hallucinate. Over time, resolved cases feed back into the knowledge base, so the AI continuously improves without blocking users.
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@nursceo - That’s a great approach. Closing the loop by feeding resolved cases back into the knowledge base is key.
Do you also track escalation patterns to identify gaps in docs or product UX?
@syed_hassan9 Thanks, Syed! Yes, exactly. Those signals feed directly into our docs backlog and product roadmap, so the AI and the product improve together over time rather than treating support as a separate layer.
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@nursceo Love that approach. Closing the loop between support, docs, and product feels like the only scalable way to improve UX over time.
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Bult.ai
@syed_hassan9 Great question. If the AI can’t confidently find an answer, we fall back to human support. The assistant is designed to know when it’s unsure and escalate rather than hallucinate. Over time, resolved cases feed back into the knowledge base, so the AI continuously improves without blocking users.
Bult.ai
@syed_hassan9 Thanks, Syed!
Yes, exactly. Those signals feed directly into our docs backlog and product roadmap, so the AI and the product improve together over time rather than treating support as a separate layer.
@nursceo Love that approach. Closing the loop between support, docs, and product feels like the only scalable way to improve UX over time.