What problem does it solve? Tracking text-to-speech model adoption requires manually combining usage metrics from ClickHouse with failure logs from Datadog and formatting them into a shareable report, which is tedious and error-prone when done daily. ## Core Features & Use Cases - Automated usage analytics: Queries ClickHouse for weekly/daily unique users (new vs. repeat), cost, revenue, duration percentiles, and model mix for TTS generations. - Reliability reporting: Combines ClickHouse successes with Datadog failure logs from cfw-tts-api, categorizing failures (provider-fault, worker-fault, policy-block, budget/limit) so the headline failure rate reflects real reliability. - Slack delivery: Posts one threaded summary to #metrics-multi-modality with day-aware framing (week-over-week on Mondays, day-over-day Tuesday–Friday), plus a PostHog rankings SEO engagement section. - Use Case: A product team runs this on a weekday schedule to monitor TTS adoption since launch, catching model-mix shifts and failure spikes without writing queries by hand. ## Quick Start Run the TTS adoption report for yesterday and post the summary to the metrics-multi-modality Slack channel.