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# Haskell in Production: Textcontent

**[Serokell](https://daily.dev/sources/serokell)** · 6 min read · 0 upvotes · 0 comments

## Summary

Marc Scholten discusses building Textcontent, an AI-powered marketing content generation tool used by over 1000 people across 300 businesses. The product started as an e-commerce ad generator but pivoted to general marketing content creation. Built by a 1-2 person team using Haskell, it leverages OpenAI's GPT models rather than custom ML algorithms. Haskell's type system and functional paradigm proved valuable for compiling user configurations into GPT prompts, handling API failures gracefully, and enabling rapid feature development despite limited resources and library ecosystem gaps.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://serokell.io/blog/haskell-in-production-textcontent>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#startup](https://daily.dev/tags/startup), [#openai](https://daily.dev/tags/openai), [#functional-programming](https://daily.dev/tags/functional-programming), [#haskell](https://daily.dev/tags/haskell)

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