LLMs have changed the way we code, build, and launch a product. Many of these cases are human-in-the-loop tasks like vibe coding or workflows that have a larger margin of error that is acceptable.

However, LLMs aren't great for backend developer tasks that have no/low human in the loop, like OCR for KYC or web scraping structured data consistently or classification. Doing all this at scale and expecting the same results/consistently is difficult.

We initially built JigsawStack to solve this problem by building small models with each model having a strong focus on doing one thing and doing that one thing very well. Then we saw majority of users would plug JigsawStack as a tool to an LLM.

We saw this and thought what we could train a general developer-focused LLM combining all our learnings from JigsawStack, with all the tools a developer would need from web search to proxy-based scraping, code execution, and more.

We just launched Interfaze in closed alpha, and we're actively approving waitlist for your feedback so we can tune it to be just right for every developer’s use case.