tonone-ai

Compare API performance across versions — regression detection and root cause analysis.

Design a performance benchmark for an API — test scenarios, metrics, and tooling.

Write a blog post or article — research the keyword, draft the post, and produce publish-ready content with SEO optimization.

Produce board financial package — monthly or quarterly financial update with P&L, cash position, key metrics, and variance vs plan.

Audit AI spend — per-model cost breakdown, top consumers, waste identification, optimization levers.

Map AI cost topology — billing attribution, team-level spend, forecast vs actuals, alert gaps.

Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling.

Build a new production-ready service from scratch — config management, health checks, graceful shutdown, structured logging.

Write SLO-based alert rules with burn rate thresholds and paired runbooks.

Build an internal dashboard with data tables, filters, detail views, and CRUD.

Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh…

Build a full CI/CD pipeline from scratch.