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Press kit
Evgenii Arsentev, MD, PhD — Chief Executive Officer, digital health
Written answers the same day.
Quoted in: Meditech Today, ITWeb Africa, Life Science Daily News, HackerNoon, Locks and Security News, TechRound, DEV Community (dev.to), The Influencer Marketing Factory, CoderLegion, GENZ TECH
Peer reviewer for JMIR Publications (27 journals) and Qeios, author of two IETF Internet-Drafts.
Bio — 50 words
Evgenii Arsentev, MD, PhD, is Chief Executive Officer of an international doctor–patient platform for the US market, which he launched from zero and moved onto AI agents — engineering now runs with only a CTO. He edits v0.1 of the conformance reporting format in the W3C Agent Conformance and Benchmarking Community Group, and he is the founder of dad4kids.com and arsentev.ai and author of Agentic AI for Beginners.
Bio — 100 words
Evgenii Arsentev, MD, PhD, is Chief Executive Officer of an international doctor–patient platform for the US market, which he launched from zero. He moved the company onto AI agents: software development runs on agents with the CTO as the only person left in engineering, designers, developers and analysts were replaced by agents, and technical support runs on agents. He also built an agent-run content operation whose social channels passed 1.5 million followers, and an AI assistant that helps doctors consult patients. He edits v0.1 of the conformance reporting format in the W3C Agent Conformance and Benchmarking Community Group and writes two IETF Internet-Drafts on records of agent runs. He founded dad4kids.com and arsentev.ai, wrote Agentic AI for Beginners, and hosts the AI Agents & Vibe Coding podcast.
Topics for comment
- Running a company on AI agents — which roles move to agents, what stays with people, how management changes.
- AI in telehealth operations — an operator's view: automating operations while clinical decisions stay with doctors.
- AI agents with real access — credentials, production systems and agents as insiders in the threat model.
- Model-vendor dependency — replaceability of AI providers as a board-level risk.
- Where agent budgets actually burn — cost governance based on published measurements of agent sessions.
- Accountability and small teams — who owns agent work, and managing a lean team with many agents.
- Hiring and junior roles — what entry-level work looks like when agents do it.
- Content operations on AI agents — keeping quality at scale.
Columns
My company has no full-time developers, DevOps or designers. Here's what three $200 Claude subscriptions do instead
A CEO's account of running businesses without full-time developers, DevOps or designers: what AI agents on three $200 Claude subscriptions do, where people stayed and what didn't work.
Published appearances
AI Breakthroughs in Digital Health: Game-Changers in Care Delivery
Expert commentary (MD, PhD): keep doctors in control of AI. AI goes first into operational work (product, analytics, technical support); an AI assistant for doctors helps consult patients but does not replace the doctor’s judgment; on vague tasks the output looks fine but is wrong, so a person checks the result
Vendor lock-in becomes technology’s hidden tax
Expert commentary: vendor lock-in gives technology providers excessive control over customers’ options; the protection belongs in the contract: data exports in open formats and advance notice of pricing or configuration changes
An AI Study Without Its Data Is Fiction
Bylined article (Health Tech): an AI study without its data is fiction; all 36 agent runs are open, the raw data let me find my own cost error and publish a correction; reviewers should reject papers that come without the data or without saying how it was collected and calculated
An Experimental Comparison of Six AI Agent Session Reset Policies
Bylined article: 36 agent runs, six context-reset policies — clearing after every task costs about a third more than the optimum, which sits at three tasks; data and DOI 10.5281/zenodo.22759217
Access control after the human
Bylined article: access control when the credential holder is a program — access per task, logs the agent cannot edit, a named owner for every automated rule
Experts Comment: Is Anthropic's IPO Warning About Existential Risk Legal Caution Or Strategy?
Expert commentary: risk factors in an IPO filing are a legal duty, not a plot; the real risk for startups is a heavy rule written for the biggest labs landing on small companies
The One Piece Of Cybersecurity Advice Every Business Should Follow? Experts Weigh In
Expert commentary: treat an AI agent like a new employee account — access for one task, logs the agent cannot edit, and logins to outside platforms done by a human
What Can Startups Learn From HSBC's AI-Driven Job Cuts?
Expert commentary, quoted in the body of the article: if a test can check the result, an agent gets the work; if trust is needed, a human does; an AI voice agent on calls did not stick
Nobody with a crawler token asked for my llms.txt - what I saw in 15 days of nginx logs
Bylined article: 15 days of nginx logs, 46,155 requests carrying search and AI crawler tokens, none for llms.txt; the first numbers were wrong and were corrected (report DOI 10.5281/zenodo.23018429)
The Rise of the Thought Leader Creator: What Brands Need to Know in 2026
Expert comment: in my own data (326 videos, nearly 5,000 posts) talking-head opinion did 24% worse and concrete take-away content 34% better; saves relative to views as the earliest signal
The Writing Got Cheap. The Checking Did Not
Bylined article (Health Tech): producing an analysis with AI got cheap, checking it did not, and the checking is what the work is for
97% of what my coding agent billed for was re-reading its own context
Invited reprint of the DEV.to article (canonical → arsentev.ai/research): what coding-agent sessions really pay for is re-reading context
My company has no full-time developers, DevOps or designers. Here's what three $200 Claude subscriptions do instead
Bylined column: businesses with no full-time developers, DevOps or designers — AI agents on three $200 Claude subscriptions instead of ~$38,500 a month at BLS median pay
All my agent's tests were green, and they told me nothing
Bylined article: 36 coding-agent runs, 4,086 tests, zero failures — and exactly why a clean sweep could not compare the conditions
What Do Dario Amodei And The JCHR's AI Warnings Mean For Startups and SMEs?
Expert commentary: whatever AI bill lands will ask for a record of how systems are used; companies that already keep it will pass in an afternoon
UK SMEs Have Increased AI Spend By 1,000% - But Is It Actually Paying Off?
Expert commentary: the rise in SME AI spend is a billing-model shift, not a preference shift — the audit that matters is what the tools pay to re-read, not how many tools you pay for
97% of what my coding agent billed for was re-reading its own context
Bylined article: 97.05% of billed tokens went on the agent re-reading its own context, not on generation
Experts Comment: Is Britain's Reliance On Foreign Technology Becoming A National Security Risk?
Expert commentary: technological sovereignty is a question of substitutability, not ownership
What smart locks inherit from software
Bylined article: the failure modes a connected lock inherits from software, and where the trust boundary now runs
Going Offline Doesn't Remove Password Risk. It Swaps It.
Expert commentary: offline versus cloud password managers — which failure mode you choose
Anthropic Discloses Fourth Unauthorised Claude Access Incident: Is The Security Industry Prepared For AI Breaches?
Expert commentary: AI agents with legitimate access and enterprise threat models
Elsewhere
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