Weavel automates prompt engineering, delivering the best prompts 50x faster than humans. Simply input your prompt and receive optimized prompts with highest accuracy. Boost your prompt's accuracy by an average 20% in less than 5 minutes.

Andrew and Jun built 10+ LLM-based products, open-sourced a prompt engineering platform, and co-authored a paper at a NeurIPS workshop in 2023. Hyun Jie worked on data analytics and optimization at Chartmetric and DevRev, and focused on growth marketing at Liner.
Automate prompt engineering & get best prompts 50x faster
Title: Weavel: Automate prompt & LLM engineering, 50x times faster than a human | Y Combinator

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### Automate prompt & LLM engineering, 50x times faster than a human

Weavel automates prompt and LLM engineering, delivering best prompts and algorithms 50x times faster. We do this by using LLMs and search algorithms to replace the manual trial-and-error of prompt engineering, but more efficiently - it is 3 times faster than the leading open source project.



Weavel

Founded:2023

Team Size:3

Location:San Francisco

### Active Founders

### Andrew Chung, Founder

Andrew is co-founder and CEO of Weavel. Andrew previously led product + engineering teams for two years, and has experience in building various applications in AI, VR, web, and mobile. Prior to that, Andrew studied electrical & computer engineering at Seoul National University before taking leave of absence in his junior year to focus on building things.



### Hyun Jie Jung, Founder

HyunJie is co-founder of Weavel, specializing in growth and data analytics. She studied data science and media at UC Berkeley and has experience working at Liner, Chartmetric, and DevRev, where she focused on marketing and data analysis.



### Junyoung Park, Founder

Jun is co-founder of Weavel. Jun previously worked as researcher at NLP-focused AI lab and has experience in building various applications with LLM. Prior to that, Jun studied computer science & engineering at Seoul National University.



### Company Launches

[### Weavel - Ape 🐒 Your first AI Prompt Engineer](









**☕️ TL;DR**
------------

*   **Ape** is the ultimate **AI prompt engineer** 🐒, designed to optimize your prompts by reducing cost and latency while increasing performance.
*   Ape achieves an **impressive 94.5%** on the GSM8K benchmark, surpassing Vanilla (54.5%), CoT (87.5%) and DSPy (90.0%).
*   **Easy to set up evaluation**: Ape can auto-generate evaluation code and use LLMs as a judge, or you can use your own eval metrics.
*   Get set up in less than 15 minutes and see the difference.
    *   [Schedule a meeting]( to discover more. Let's chat! 🙂

**🔒 Problem**
--------------

You’re an engineer of an LLM app, trying to get the prompts just right. Every time you type something in, the output changes—so you tweak a word here and there, and it changes again. Sometimes the outputs looks better, sometimes not. But you’re never sure. Hours go by, all spent on prompt engineering.

Getting the outputs you want can feel like an endless game of trial and error. And you’re not alone. Over the past few weeks, we’ve talked to over 100 YC companies, and a lot of them are facing the same challenges:

*   **Measuring output quality is hard** (You’re heavily relying on manual evaluations at the moment.)
*   **Prompt engineering does not work as you want** (You hate spending 5-7 hours a day searching for that one great prompt.)

**🔑 Solution**
---------------



We solve the problem with one simple formula:

```
good input + right guidance = better prompts
```

Today, we launch Ape, your first **AI Prompt Engineer**. Inspired by DSPy, Reflexion, Expel and other research papers, Ape iteratively improves your prompts. Here’s how Ape works:

1️⃣ Log your inputs and outputs to Weavel (with a single line of code!)

2️⃣ Let Ape filter the logs into datasets.

3️⃣ Ape then generates evaluation code and uses LLMs as judges for complex tasks.

4️⃣ As more production data is added, Ape continues refining and improving prompt performance.

### **How to use**



**Create a Dataset**

Change just one line of code to start logging LLM calls with the Weavel Python SDK. The SDK supports sync/async OpenAI chat completions and OpenAI structured outputs.

You can also import existing data or manually create a dataset.



**Create a Prompt**

Write a prompt that corresponds to your dataset. You can add an existing prompt as the base version, or if you prefer, create a blank prompt and provide a brief description for Ape to create a prompt from scratch.



**Optimize Prompts**

To optimize your prompt using Ape, fill in the necessary information (e.g. JSON schema as you want) and then run the optimization process. An enhanced version of your prompt will be created and available soon.

Ta-da! It’s that easy. Ape outperforms with a remarkable 94.5% score on the GSM8K benchmark, surpassing Vanilla (54.5%), CoT (87.5%) and DSPy (90.0%). With Ape, you can optimize the prompt engineering process, saving tons of time and cost while increasing performance.



Ape is **open source**. [Check out our repository on GitHub.]( (We’d appreciate a star 🌟)

**🚀 The Team**
---------------



From left to right: [**Jun**]( [**Andrew**]( [**HyunJie**]( and [**Toby**]( — together we’re building Weavel.

**Andrew** and **Jun** built 10+ LLM-based products, open-sourced a prompt engineering platform, and co-authored a paper at a NeurIPS workshop last year. **HyunJie** worked on data analytics and optimization at Chartmetric and DevRev, and focused on growth marketing at Liner. Then **Toby** joined, a full-stack engineer who worked at several early stage teams, shipping 5+ products.

**🙏 Ask**
----------

*   Try Ape! [Schedule]( a walkthrough with the Weavel team or email [hyunjie@weavel.ai](mailto:hyunjie@weavel.ai).
*   Share thoughts on our [Discord]( or DM us on [Twitter](
*   If you know anyone struggling with prompt engineering or evaluations for LLM apps, connect them with us!
    *   Copy & paste blurb: A YC company named Weavel has developed an AI prompt engineer (Ape in short) which continuously improves your prompts. It’ll save tons of time for you. You can grab a time [here]( for a demo from the founders.


