TruthSeek · live at truthseek.in
A voice-based user research platform: it runs interviews and turns the conversations into research a team can actually use, not just raw transcripts.
The problem
User interviews are useful, but organizing, running, and analyzing them by hand doesn't scale past a handful of calls. The hard part isn't automating the call itself. The agent has to ask the right questions, respond naturally, stay inside the research brief, and produce something a researcher can actually use, not just a transcript to dig through.
What I built
- Human-in-the-loop live-call monitoring. Built the feature that lets a researcher watch an AI calling-agent run an interview in real time and take over the call mid-interview if needed.
- Calling-agent guardrails. Engineered the guardrail layer governing question wording, company-mention handling, intent exposure, and follow-up depth, so automated interviews stay compliant and on-script without a human writing every question by hand.
- Insights dashboard integration. Integrated Insights Engine, originally a standalone review-intelligence project, as a real-time analytics dashboard inside TruthSeek, giving product-growth teams at FMCG brands live visibility into the consumer insights gathered from their interviews.
Outcome
TruthSeek moved from an early idea to a working product that multiple customer teams now use. Across every interview format, a capable model alone was never enough. It also took a clear interview structure, explicit behavior controls, reliable transcript processing, and output a researcher could actually trust.
Stack
Python · voice-agent workflows · LLM guardrails · real-time dashboard integration