AI
AI Agent Tool Design: Why Narrow Tools Beat Generic API Clients
Giving an agent a generic HTTP client creates a huge capability surface. Narrow business tools make authorization, validation, and observability easier.
IndieFounder publication
Practical stories, product lessons, teardowns, and field notes for independent founders.
AI
Giving an agent a generic HTTP client creates a huge capability surface. Narrow business tools make authorization, validation, and observability easier.
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AI
Giving an agent a generic HTTP client creates a huge capability surface. Narrow business tools make authorization, validation, and observability easier.
Founder Stories
A new repo feels like progress. It is often a way to leave the hard part of the first product unfinished.
AI
The enterprise AI startup is betting that companies will buy completed work, not another layer of software.
Productivity
Operator work expands to fill every calendar. A solo product only grows in the hours that change the asset.
AI
Parallel tool execution can dramatically reduce latency, but only when calls are independent and safe to run together.
Founder Stories
Shipping in public fails when the log is a mood board. Treat it like a product with a job, a cadence, and a metric that proves someone used it.
Startups
Solo products stall because founders keep every option open. A written kill rule turns a vague ‘maybe later’ into a date and a number.
Security
You do not need a security team to keep a one-person product honest. You need a short list of controls you can still explain at 2 a.m.
AI
An agent may retry the same action after a timeout even when the external system already completed it. Idempotency prevents duplicate side effects.
AI
AI coding agents can compress implementation time, but production quality still needs an explicit engineering loop.