AI-Agent Reporting Automation

Production AI-agent service that turns stakeholder requests into verified BI reports end to end: a request posted in Basecamp triggers a gated agent workflow that validates SQL against approved business logic, creates or updates the Metabase report, and verifies every write by exact read-back before replying with evidence. Containerized Node.js services (Docker Compose) with a fully offline test suite and CI. Built to cut the analytics team's ad-hoc reporting load - and to prove AI agents can be trusted with production writes when properly gated.

Solid setup. One thing that has saved me a lot in write-capable agents: log every agent turn (prompt, tool calls, outcome) to an audit table and add a replay mode — when a report comes out wrong, you can reproduce the exact run instead of debugging blind. Also worth setting a...

Designed and developed an AI-powered Telegram chatbot that automates appointment booking for dental clinics. The bot allows patients to schedule appointments, check available time slots, view clinic information, and receive instant confirmations through Telegram. The system integrates with Google Sheets to automatically store patient details, appointment schedules, and booking records in real time. By automating the booking process, the solution reduces administrative workload, minimizes scheduling errors, and provides patients with 24/7 self-service appointment booking.

Nice build. Two things that bite most booking bots in production: timezones and stale slots. If the bot stamps "now" in server time, patients can end up booking outside clinic hours — store slots in the clinic's timezone and validate the pick is within business hours and in the...