In-Depth Review of Liner: AI Agents for Every Part of the Academic Workflow

Dear Scholar,

AI agents are quickly evolving to become the next frontier in AI, as they can solve far more complex use cases than a simple large language model alone, even when supplemented with an academic database. (Check out the infographic below).

This week, I am testing Liner, a tool that has been around for many years but just recently switched its focus to academic AI. Currently, Liner offers five AI agents for different parts of the academic workflow. I talked to the team behind Liner, and they explained that many more agents will be developed in the near future.

Liner is an AI tool that specialises in building agents for various parts of the academic workflow. In this article, I present how it can be used to generate hypotheses for your next paper, run a peer review on your manuscript, conduct a thorough literature search, or recommend references for your writing. Overall, Liner distinguishes itself with an incredibly polished UI and thought-out use cases.

What are AI agents?

Simply speaking, if your regular large language model (LLM, or "AI") is like a skilled worker who can do something, an AI agent is more like a factory consisting of many different workers passing tasks and results between them to create something bigger than what a single worker could have done alone.

The upside is that agents can solve more complex tasks because they go through many steps to accomplish a task. But this usually takes far longer than the one-step reply you're used to from ChatGPT and can be more expensive.

Discount Codes for Liner

As usual, I have a discount for you if you want to give Linear Pro a try. The link is valid for first-time customers and will provide you with a 40% on the annual subscription.

(The only catch is you have to subscribe within 24 hours of registration)

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Wishing you a wonderful weekend,

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Ilya Shabanov, The Effortless Academic​