From grounded answer generation to takeover logic and dashboard visibility, every major system is aimed at customer support conditions rather than generic chatbot demos.
Capability map
The product is modular enough to fit lean teams, but opinionated enough to keep quality high in production support flows.
FastAPI-based webhook processing, dynamic prompt assembly, short-form reply control, and brand-safe tone handling for live Chatwoot threads.
Local knowledge bases, direct FAQ mapping, lightweight retrieval, help-center search, and inbox-specific content routing.
Manual takeover memory, high-threshold windows after agent intervention, repeated-question protection, and low-confidence clarification paths.
Intent detection, memory-aware prompting, image analysis, and reply humanization tuned for support workflows.
Order queries, account checks, status timelines, item lookup, and data-aware replies for commerce or account-driven service desks.
Statistics, AI on/off controls, conversation states, and deployment-friendly APIs for teams that need visibility at scale.
Built for real support load
Confidence behavior
The assistant can keep easy replies efficient, ask for missing evidence when the signal is weak, and avoid bluffing through support-critical questions.
Human protection
When a human replies, the system can pause AI, increase reply thresholds, and preserve clean ownership of the thread.
Grounding
Load help content, local docs, FAQ maps, or business APIs, then keep inbox-specific answers aligned with the right source material.
Ops visibility
Track AI states, resolution trends, and control settings while keeping manual intervention simple for operators.
Product fit
Bring grounded answers, visual troubleshooting, and operator-safe controls into one inbox workflow.