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Atmrix

About

JH

Jake Heller

10/04/24

@ Y Combinator

We adopted a test-driven development approach for our AI prompts, which allowed us to refine the system to achieve high accuracy in responses.

Video

YC

Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities

@ Y Combinator

Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities

10/04/24

Related Takeaways

JH

Jake Heller

10/04/24

@ Y Combinator

Using a test-driven development framework helps identify patterns in AI mistakes, allowing you to refine instructions and improve accuracy over time.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

An iterative approach is essential in working with AI; continuously debugging and refining prompts can lead to more reliable outcomes.

JH

Jake Heller

10/04/24

@ Y Combinator

Our development process involved creating a series of tests to ensure that the AI could accurately respond to legal queries, which was crucial for its effectiveness in practice.

IS

Ion Stoica

05/29/25

@ a16z

We've developed a 'prompt to leaderboard' system that identifies which AI models are best suited for specific prompts, even if those prompts have never been seen before.

YC

Y Combinator Cast

02/09/24

@ Y Combinator

Developer tools for prompt engineering are gaining traction, allowing users to chain prompts and test their effectiveness, which is appealing to college students experimenting with AI.

JC

Jason Citron

04/29/25

@ a16z speedrun

We are using AI across the company, with every customer service ticket seen by AI first, which has improved response times and accuracy.

YC

Y Combinator Cast

05/23/25

@ Y Combinator

There's a missing tool in AI app development that would allow an AI system prompt writer to assist users in refining prompts.

YC

Y Combinator Cast

05/23/25

@ Y Combinator

The interaction model for building AI tools should be iterative, where users and developers collaborate to refine system prompts.

L

LangChain Cast

02/20/25

@ LangChain

Testing AI agents involves pre-deployment testing with curated conversation sets to ensure expected responses, followed by ongoing evaluation to adapt to changing user interactions and questions.