Palo Alto AI Lab

Anton Dziatkovskii

Operating lead of this lab. I run a multi‑machine agent fleet in production and publish how it is governed.

Most teams can get one AI agent working. Very few can run a fleet of them safely. The hard part is not the model: it is deciding what an agent may do on its own, making agents check each other, and making their failures visible instead of silent. That is the layer I build, and I publish it, because you should be able to check it before you trust it.

→ Nine 2026 preprints, each with a DOI and the code
→ Numbers you can check  ·  Record  ·  Published work  ·  Talks  ·  Contact

Numbers you can check

Every figure below links to the thing that produces it. Counts were re‑measured on the dates given. Nothing is rounded up.

50 merged pull requests in 35 other people's repositories

since 1 Aug 2026 · re-measured 2026-10-06

38 code and documentation fixes plus 12 curated-list entries, among them UK AISI inspect_ai, Qwen Code, the MCP Go SDK, Pydantic Logfire and the Gemini cookbook.

6 agent tools running daily across 5 machines

one shared fleet, one written rulebook

Claude Code, Codex, Grok, Gemini, GLM and Mistral, on a shared skill shelf with an incident journal. The rulebook the fleet actually runs on is published, not described.

58 events hosted in 2025, and here is the honest shape of that

public Luma calendar · re-counted from the API on 2026-10-08

57 of them were the lab's recurring online Collective Call, and most of those drew single digits: 433 registrations across all 58, of which 245 came from the one event held in person, AI Agents Pad: VCs & Investors Private VIP, Paris, 9 April 2025. So the number is a record of showing up every week for a year, not of filling rooms. The in-person side is where this lab is thin, and the calendar is public, so you can check that yourself.

137 citations, h-index 7, 50+ published items

Google Scholar, July 2026 · items span 2018 to 2026

Journal articles, conference papers, book chapters and preprints. The full record is public and includes one entry listed as retracted, because the publisher withdrew the whole proceedings volume it appeared in. It is listed there rather than quietly dropped.

Record

2023 to present · Palo Alto, California

Operating lead, Palo Alto AI Research Lab

An independent lab working on multi-agent coordination, agent governance and how agent failures are made visible. I run the fleet the research comes out of, and write its operating manual in public.

2015 to present

COO / CTO, hired executive · Platinum Software Development Company and Incubator

A hired operating executive, not a shareholder: I ran delivery for a software house and a startup incubator, and scaled a distributed engineering organisation to 40+ developers across APAC. Built Solidity curricula, ran hackathons, cohorts and incubations. Advised enterprise subsidiaries of Foxconn and ANA Airlines.

2017-2018 · Singapore

Chief Engineer, lending and risk management · Everex

Credit and risk systems for a cross-border lending product.

2006-2015

Sales Director, compute hardware (Southeast Europe), then CRM/ERP Development Director · Merlion

Five years building CRM and ERP on Microsoft Navision and Salesforce, after running hardware sales for the region. The operating toolkit I automate with agents today started here.

Published work

Nine preprints on Zenodo, deposited between 7 September and 6 October 2026, CC BY 4.0, each with a permanent DOI and a full-text PDF, seven of them with the repository the paper describes. These are experience reports from a system that actually runs, not proposals.

Talks

I speak about what breaks in a running agent fleet, with the logs on screen. One night my agents filed 126 incident reports about a network that was fine; the power log showed the Mac had fallen asleep 69 times. That is the kind of material: the failure, the log line that settled it, and the rule we run now because of it.

What I maintain

The lab's artifacts are open and reproducible. The fastest way to judge the work is to clone one and try to break it.

Contact

Based in Palo Alto, California. Work is distributed across the Bay Area, Lisbon and APAC. I hold Polish (EU) citizenship and an active US O‑1; no employer sponsorship is required in either market.

If you are weighing whether to put agents in charge of something that matters, the useful first conversation is about which decisions you are willing to let them make alone. Bring that question and we will get somewhere in half an hour.

Palo Alto AI Lab is an independent research laboratory. It is not affiliated with, endorsed by, or connected to Stanford University, OpenAI, Anthropic, or any other institution or company named on this page; references are descriptive of prior employment or published work only. Company and product names are trademarks of their respective owners.
Hand-written HTML, one file, no analytics, no cookies. The CDN rewrites the email link into an obfuscated one and injects the small decoder that goes with it; that is the only script served with this page, and it is not ours. Counts re-measured 2026-10-08.