The Specify Blog

Engineering notes on AI teammates, team context, and workspace operations.

Trends

From an ‘LLM wiki’ to team knowledge: scaling the context your agent reads

Lots of people now hand-build an ‘LLM wiki’: a folder of markdown files a coding agent like Claude Code reads. It's powerful, but it usually stops at one person. Here's how to scale the context you gathered by hand to your whole team.

Product

Why AI-native teams need a 'context layer'

If you re-explain the same background to AI every time, the problem isn't the AI — it's your team's scattered context. Here's what a 'context layer' is, in plain terms, and why AI-native teams need one.

Use cases

How to hand repetitive work to an AI teammate

From summarizing meeting notes to tidying documents, here's how to hand the time-consuming, repetitive work to an AI teammate that runs in the background.

Engineering

Workspace memory: keeping the 'why' behind every decision

When you keep not just what you decided but why you decided it, you don't have to answer the same question all over again months later.

Trust

Hand work to AI, but keep control on the team

An Agent only works within the scope your team allows, and every step and result is logged. Here's how to delegate without losing control.