#deep-dive
Every post tagged "deep-dive".
107 posts · showing 91–100
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What I'd Tell a Team Starting Their First Agent Project
Seven things, none of them about model capability, and most of them cost a quarter before they're visible. The first one eliminates more candidate projects than anything else — and should be applied at the idea stage.
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Computer Use: When the Agent Drives a Whole Desktop
Clicking is easy; knowing what to click is a perception problem solved from a screenshot. The failures are modals, focus loss, and scroll state — and an agent that assumes its click landed compounds errors silently.
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Why Turn 20 Costs More Than Turn 2
A six-turn run whose final context is 12,000 tokens sends 42,000. That gap is agent economics — and it makes an early oversized tool result the most expensive thing in your run.
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Who Owns the Agent? The Team Structure Question
Prompts need domain expertise; tools need engineering; evals are specification. That split doesn't match team boundaries, which is why agent ownership goes ambiguous — and ambiguous ownership shows up as quality nobody watches.
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Pricing an Agent Product When Your Costs Are Variable
One customer can cost a hundred times another on the same plan, and they're often the ones getting the most value. Five pricing models, their failure modes, and the trap where every quality improvement cuts your margin.
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Data Exfiltration Paths You Forgot Your Agent Had
A URL fetch sends data in the request. A rendered markdown image leaks from the viewer's browser, bypassing every tool-level control. Enumerate the paths — several of them look like features.
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Where Agents Don't Belong (Yet)
Six task shapes where the agent architecture is the wrong fit regardless of model quality — each with a tell you can check in an afternoon, before committing a quarter to it.
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Sandboxing Code Execution: What a `run_code` Tool Actually Needs
One tool replaces dozens — and hands a model that reads untrusted text a general-purpose mechanism for doing anything the process can do. Four boundaries, four isolation levels, and the one people leave open.
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Why Two Identical Runs Give Different Answers
Same input, different result. Four things cause it, only one is a bug — and the most common culprit is that the input wasn't actually identical.
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MCP: What a Standard Tool Protocol Changes, and What It Doesn't
Portable integrations and runtime discovery are real wins. Tool design, selection accuracy, permissions, and untrusted content are exactly as hard as before — and easy connection quietly makes two of them worse.