AI Agents & Vibe Coding

Evgenii Arsentev
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Short, practical notes from someone who runs dozens of AI agents in production every day. Full transcripts and a free course: arsentev.ai. What actually holds up, what it costs, and what breaks first. No demos, no hype — numbers from real work. Host: Evgenii Arsentev, MD, PhD — creator of Arsminal; founder of ArsentevAI and Dad4Kids.

Episodes

  1. 13h ago

    OpenAI Bought Odessia: A Travel Agency Run by Eight People and AI Agents

    Eight people and AI agents built a real travel agency in under a year. Twenty-seven days after launch, OpenAI bought it. Before Odessia, founder Francis Davidson spent ten years building Sonder: more than a thousand employees, hundreds of millions of dollars in leases, and a bankruptcy. He built the new company the opposite way. Agents handled not only the code but also marketing, customer support, legal and finance. They read meeting recordings and email and kept working at night while the people slept. The episode covers the six rules the team worked by, what a startup can copy tomorrow, and which of the founder's numbers nobody has checked. Sources: Francis Davidson, "OpenAI Acquires Odessia" (X and LinkedIn, Nov 10, 2026), Skift, TechCrunch, PhocusWire, TNW, BetaKit, Inc., Commercial Observer, LangChain video.

  2. Sep 26

    AI Agent Tests All Green? Why That Proves Nothing When You Compare Setups

    You change the model, the prompt or how often the agent's context is cleared, rerun, and every test is green. That tells you less than it seems. In 36 runs of a coding agent under six context-clearing policies, 4,086 tests passed with zero failures while cost differed by 33.5% between the most and least expensive of the six condition averages. The agent wrote its own tests in every run, from 97 to 127 per run, so the runs had no shared checks to compare. This episode explains why a test suite can be blind to the very difference you are testing, why the tempting "longer sessions did less work" reading did not hold up, and the proposal that came out of a W3C Agent Conformance group discussion: every result set should say whether any check changed state (some, none or incomparable) and which ones did. Because a record that cannot say incomparable will say none, and a reader will hear equivalent. Paper on Qeios: https://doi.org/10.32388/0BV3Z8 Full transcript of this episode: arsentev.ai/podcast

  3. Sep 16

    AI Content Engine: What It Costs When AI Agents Replace a Video Studio

    An AI content engine is a system where AI writes the scripts, AI avatars appear on camera, a synthetic voice talks and software edits and publishes. This episode walks through a working one: built by one person with no technical background, 1,497 videos across 67 channels in 101 days, 52 cents per 1,000 views. What a human studio or influencers would cost for the same output, why organic reach grows with a delay, a forecast for 100 AI presenters, and four steps for a business. Technical report with every calculation: https://doi.org/10.5281/zenodo.22802228 Full transcript of this episode: arsentev.ai/podcast

  4. Sep 11

    When to Clear an Agent's Context: A Measured U-Curve

    Correction, 15 September 2026: the audio and the transcript below use the prices of report versions 1.0 and 1.1, which were wrong. At the correct prices, a run costs $2.17 when the context is cleared after every task, $1.62 at every third task and $1.78 when it is never cleared (not $2.68, $2.14 and $2.47). Clearing after every task costs 33.5% more than the best policy (not 25%). Never clearing costs 9.7% more (not 16%), and that difference is not statistically significant (p = 0.046; 0.14 after adjustment for multiple comparisons). A cache write costs 20 times a cache read, not twelve and a half. Corrected report: https://doi.org/10.5281/zenodo.22759217 Thirty-six runs, six session policies, and an answer that matches neither of the two popular rules Full transcript of this episode: arsentev.ai/podcast

  5. Sep 11

    AI from Zero: How to Become a Vibe Coder and Stop Fearing the Terminal

    A long episode for anyone who has never opened the black window full of text and is sure it isn't for them Full transcript of this episode: arsentev.ai/podcast

  6. Sep 8

    Claude Code: How to Cut Your Token Spend

    How to cut your token spend in Claude Code, or any other AI, several times over. Why the model rereads the whole conversation on every reply, what the context actually is, and why a bloated context makes the model dumber. One command, one habit of writing to a file, and one rule: one task, one chat, closed. Full transcript of this episode: arsentev.ai/podcast

  • 6 Episodes

About

Short, practical notes from someone who runs dozens of AI agents in production every day. Full transcripts and a free course: arsentev.ai. What actually holds up, what it costs, and what breaks first. No demos, no hype — numbers from real work. Host: Evgenii Arsentev, MD, PhD — creator of Arsminal; founder of ArsentevAI and Dad4Kids.

Information

  • Creator
    Evgenii Arsentev
  • Years Active
    2026
  • Episodes
    6
  • Rating
    Clean
  • Copyright
    © Evgenii Arsentev
  • Show Website
    AI Agents & Vibe Coding

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