Weavel

Automate prompt engineering & get best prompts 50x faster

4.0•1 review•

182 followers

Automate prompt engineering & get best prompts 50x faster

4.0•1 review•

182 followers

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Automation tools

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Prompt Engineering Tools

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.

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Launch tags:Software Engineering•Developer Tools•Artificial Intelligence

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Weavel

Maker

📌

@mwseibel thank you for the hunt! Hi Product Hunt makers 👋 I'm Andrew, co-founder of Weavel. I'm excited to introduce our prompt engineering automation platform for LLM apps @junpark_314 @hyunjiejung @tobykim . As foundation models get smarter, more and more tasks can be solved by prompting LLMs in the right way. But going from 80% to 100% is hard and requires days, even weeks of prompt engineering. We are building Weavel to help makers ship fast and with confidence, by automating the hassle of manual trial-and-error of prompt engineering with LLM-based algorithms. Weavel is designed for developers, data scientists, and AI enthusiasts who need to maximize efficiency and accuracy in their LLM apps. Weavel delivers the prompts with highest accuracy, 50x times faster than humans - optimized prompts surpasses DSPy-optimized prompts by 4% and CoT by 7%. We are rethinking prompt engineering to make the process fast, accurate, and reliable. Here's how we help the engineering cycle: 💾 Dataset curation: - Add one line of code to log LLM calls in your product. We automatically curate datasets from the logs - user representative dataset and out-of-distribution dataset for edge cases. - Enrich your dataset with LLM call logs from production. 🧪 Prompt optimization: - From your base prompt and provided dataset, Ape (our AI prompt engineer) will iterate on diverse prompts, and find the mixture of instructions and few shot examples with the highest scores. - It takes only 4 minutes, and improves accuracy by an average 20% 🚀 We'd love to hear your thoughts and feedback. Thanks for checking out Weavel! PS1: The code that powers Ape (AI prompt engineer) is open source at https://github.com/weavel-ai/Ape PS2: We are working on a prompt engineering playground that also automatically curates datasets from the runs - will launch soon! Real soon!!

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2yr ago

Weavel

Maker

🚀🚀🚀

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2yr ago

Weavel

Maker

@a_zelenkov Hey Alexander! Thanks for your support :)

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2yr ago

That's great! Congratulations! Many solutions aim to optimize prompts for assistant, RAG, and other typical use cases, but fewer offer help with optimizing AI Agent instructions and prompts. Do you have any opportunities to use it for the Agent?

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2yr ago

The prompt engineering automation looks impressive. It's great to see how efficiently it handles prompt optimization and evaluations.

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2yr ago

Weavel

Maker

@angelina__ashley Thank you Iris! Efficiency is key for sure.

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2yr ago

definitely is promising/ do you have a community feature so everyone shares?

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2yr ago

Weavel

Maker

@alex_li16 Thanks Alex! We currently don’t have a sharing feature, but it's something we can consider.

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2yr ago

HarnessRouter

This is a fantastic solution, @aschung01! Automating the tedious trial-and-error of prompt engineering could significantly speed up development. I’m especially interested in the dataset curation feature—how does it ensure the datasets are comprehensive and representative? Are there any plans to integrate more advanced features like real-time optimization or interactive tweaking?

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2yr ago

This sounds really interesting! How does Weavel handle different languages or contexts for prompts? I'm curious if it's as effective across various domains or just limited to specific ones. Any insights on the user experience too?

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2yr ago

Weavel

Maker

@kevinyaoooooo Hey Kevin! It works especially well for classification/labeling or data extraction tasks, and language support will depend on what model you use.

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2yr ago

Future AGI

Congrats @Andrew, Weavel looks like a game-changer in prompt engineering automation. The ability to automatically curate datasets of production, and enhance prompt accuracy by 20% in just 4 minutes is impressive. How does Weavel handle edge cases in dataset curation, and what specific metrics do you use to measure prompt performance?

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2yr ago

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