
AI Agents & Vibe Coding
This podcast offers short, practical notes from a host who runs dozens of AI agents in production every day. It focuses on what actually holds up, what it costs, and what breaks first, using real numbers rather than demos or hype. Full transcripts and a free course are available at arsentev.ai.
Episodes

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

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 gro

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 c

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

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
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