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Dawncoral

Pick the right models. Give them the right infrastructure. Curated inference for open-weight models; auditable memory for agents. We write down what actually happens.

Location Sydney Joined Joined on  Personal website https://wallabytoken.com github website

Work

Building Wallaby — a curated inference layer for open-weight models

A dev.to comment changed how we test agent instructions

A dev.to comment changed how we test agent instructions

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Comments 3
6 min read

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A reported $2.3 API bill doesn't tell you what the agent costs.

A reported $2.3 API bill doesn't tell you what the agent costs.

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Comments
5 min read
The footer scored zero. The real tool log gave it 20/20.

The footer scored zero. The real tool log gave it 20/20.

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Comments
6 min read
Skill contracts vs. ceremony: a narrow retest

Skill contracts vs. ceremony: a narrow retest

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6 min read
AI agent memory needs a verification step

AI agent memory needs a verification step

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3 min read
Building a Letta Code custom provider: static first, live second

Building a Letta Code custom provider: static first, live second

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Comments
6 min read
The Model Is Not the Bottleneck. The Routing Is.

The Model Is Not the Bottleneck. The Routing Is.

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5 min read
Memory Is Not Written. It's Audited.

Memory Is Not Written. It's Audited.

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6 min read
Why your AI agent's memory says it saved but didn't

Why your AI agent's memory says it saved but didn't

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9 min read
Your skill file is too big: the 6KB line, measured

Your skill file is too big: the 6KB line, measured

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Comments 11
6 min read
We open-sourced the tool that failed its own kill rule

We open-sourced the tool that failed its own kill rule

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Comments 2
12 min read
How to run Kimi K3 in the Vercel AI SDK — one npm package, two lines of code

How to run Kimi K3 in the Vercel AI SDK — one npm package, two lines of code

Comments
4 min read
Pick the right models. Give them the right infrastructure

Pick the right models. Give them the right infrastructure

Comments
2 min read
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