#comparison
Every post tagged "comparison".
48 posts · showing 31–40
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Should Agents Talk in Prose or in Schemas?
Prose carries the nuance your schema didn't anticipate — and dissolves it across three hops, turning "probably rounding" into an established fact. Structured with a bounded escape hatch, and a rule for when to promote.
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How Many Agents Is Too Many?
Every addition is locally justified, and then the system costs more and answers worse than a simpler one would. Four measurable signals you've overshot — and the merge experiment that settles it.
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Request, Worker, or Durable Execution? Hosting Models for Agents
Where a run lives decides how long it can be, whether it survives a deploy, and whether it can wait for a person. Pick by the longest wait it can hit — and keep state out of process memory so the answer can change.
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Designing Tools for Agents vs Designing APIs for Developers
One endpoint, one tool is the obvious mapping and the wrong one. APIs assume a consumer who reads docs once and writes a loop — an agent re-decides everything from a paragraph, every call.
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Local Models for Agent Work: Where They Actually Fit
"Can a local model replace the frontier one?" is the wrong question. Which steps can move is the right one — and the comparison people skip is against a small hosted model, where most of the saving already lives.
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Tool Calls or Structured Output? Two Mechanisms, Two Jobs
Both emit schema-conforming JSON, which makes them look interchangeable. One expects a result back and one ends the turn — and that single difference decides every other question.
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Run, Session, or Global? Scoping Agent Memory Correctly
Too-small a scope produces a visible annoyance; too-large produces a silent wrong answer. One question assigns any fact correctly, and one rule keeps multi-tenant reads from becoming an incident.
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Vector Database or Postgres? Choosing Storage for Agent Memory
Most agent memory reads are filtered similarity or plain structured lookup — relational workloads wearing an embedding. Write down your ten most common retrievals before you add a second database.
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Specialist Agents or Specialist Prompts? The Cheaper Half of Multi-Agent
A separate agent buys separate context, separate permissions, and separate lifecycles. It does not buy expertise — that's what prompts are for, and they cost nothing and lose nothing at the boundary.
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Chatbot, Workflow, or Agent? Pick the Simplest Thing That Works
Six weeks building an agent for a task with three fixed steps. One question — can you draw the flowchart before seeing the input? — separates the three architectures and saves most of that time.