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Quinn Li

Building and writing about AI-powered developer tools. Obsessed with clean code and useful automation.

Location Singapore Joined Joined on 
Your Hourly Rate Makes Free Tokens Expensive

Your Hourly Rate Makes Free Tokens Expensive

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7 min read
Free Model Access Needs an Exit Plan: How to Test LLM Endpoints Without Betting Your Pipeline

Free Model Access Needs an Exit Plan: How to Test LLM Endpoints Without Betting Your Pipeline

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4 min read
The Retry Tax: When Free AI Capacity Stops Being Free

The Retry Tax: When Free AI Capacity Stops Being Free

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3 min read
Free Tokens Are a Tool, Not a Promise: Measure Before You Build

Free Tokens Are a Tool, Not a Promise: Measure Before You Build

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4 min read
Cheap Tokens, Expensive Waiting Rooms

Cheap Tokens, Expensive Waiting Rooms

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4 min read
Free Tokens Are a Queue, Not a Wallet

Free Tokens Are a Queue, Not a Wallet

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5 min read
Free Tokens, Real Queues: Measure What Your LLM Calls Actually Cost

Free Tokens, Real Queues: Measure What Your LLM Calls Actually Cost

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4 min read
Chaos for the Cost-Conscious: Fault-Injecting Your LLM Pipeline on Free Hardware

Chaos for the Cost-Conscious: Fault-Injecting Your LLM Pipeline on Free Hardware

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4 min read
Free, Paid, or Self-Hosted: Run the Decision Script

Free, Paid, or Self-Hosted: Run the Decision Script

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4 min read
Routing Around Rate Limits: A Free-Tier Model Proxy in 100 Lines

Routing Around Rate Limits: A Free-Tier Model Proxy in 100 Lines

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4 min read
The Free-Tier Trap: A Framework for Choosing Model Access

The Free-Tier Trap: A Framework for Choosing Model Access

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5 min read
A Free Server Is Enough to Test a New Model Before You Trust It

A Free Server Is Enough to Test a New Model Before You Trust It

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3 min read
Reproducible Evaluation Harness for New Model Releases: MiniMax H3

Reproducible Evaluation Harness for New Model Releases: MiniMax H3

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5 min read
A Reproducible Tool-Call Gatekeeper for AI Agents

A Reproducible Tool-Call Gatekeeper for AI Agents

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4 min read
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