Doordash

Your Agents Need a Save Button - Hamza Tahir, ZenML

Jul 18, 2026 · 17:07

Hamza Tahir, co-founder of ZenML and Kitaru, argues that AI agents need a durable 'save button' — checkpointing runtime state — to move beyond read-only traces and enable replay, debugging, and optimization at scale. He demonstrates Kitaru, an open-source runtime that snapshots code, artifacts, and environment between tool calls, letting developers replay an agent from any checkpoint with a swapped model or mocked tool. Tahir shows how this allows side-by-side diffs across single runs or entire cohorts sorted by cost, then uses an MCP server to let an LLM analyze the results and flag false economies. He cites DoorDash's blog post, which used simulated replays to cut hallucination by 90% and reduce simulation time from hours to minutes. The conclusion: a single replay is an anecdote; real insights come from cohort analysis across production checkpoints.

The Adversarial Path to the Personal Assistant: Sumit Agarwal

Feb 15, 2025 · 18:46

Sumit Agarwal, founder of Ario AI, discusses building a personal AI assistant that uses adversarial ETL to extract users' data from services like Google, Amazon, and Doordash, enabling immediate personalization without manual input. He announces $16M in funding and demonstrates how the assistant generates data portraits, recommends travel and routines based on personal history, and manages schedules by detecting conflicts. Agarwal shares RAG insights: avoid LLMs for trivial math, use search and pre-processed profiles, and present the right data at the right time. Ario Boost, a browser extension, lets users download their data locally in developer mode without creating an account.