# twigbit

> twigbit is an AI product studio based in Berlin. We design, engineer, and ship AI-native software for ambitious teams — taking AI from prototype to reliable, EU-compliant production.

The site is bilingual (English at /en, German at /de). Each blog post is also available as clean markdown by appending `/llms.txt` to its URL.

## Key pages

- [Home](https://twigbit.com/en): What twigbit does and who we work with
- [Work](https://twigbit.com/en/work): Selected AI products we have shipped
- [Glossary](https://twigbit.com/de/glossary): Plain-language explanations of AI and software terms (German)
- [AI strategy call](https://twigbit.com/en/ai-strategy-call): Book a discovery call

## Blog (EN)

Index: https://twigbit.com/en/blog · Feed: https://twigbit.com/en/blog/feed.xml

- [RAG vs fine-tuning for SMEs](https://twigbit.com/en/blog/rag-vs-fine-tuning-for-smes): Small and mid-sized companies rarely need a fine-tuned model. Retrieval is cheaper, faster to ship, and easier to keep correct. Here is the trade-off. — markdown: https://twigbit.com/en/blog/rag-vs-fine-tuning-for-smes/llms.txt
- [When to build an agent vs a workflow](https://twigbit.com/en/blog/agent-vs-workflow): Agents are powerful, but most production AI features are better served by a deterministic workflow. Here is how we decide. — markdown: https://twigbit.com/en/blog/agent-vs-workflow/llms.txt
- [Shipping AI that survives production](https://twigbit.com/en/blog/shipping-ai-that-survives-production): Demos are easy. The gap between a convincing prototype and a reliable product is where most AI projects stall. — markdown: https://twigbit.com/en/blog/shipping-ai-that-survives-production/llms.txt

## Blog (DE)

Index: https://twigbit.com/de/blog · Feed: https://twigbit.com/de/blog/feed.xml

- [RAG vs. Fine-Tuning für den Mittelstand](https://twigbit.com/de/blog/rag-vs-fine-tuning-for-smes): Kleine und mittlere Unternehmen brauchen selten ein fein­getuntes Modell. Retrieval ist günstiger, schneller umgesetzt und leichter korrekt zu halten. So liegt der Trade-off. — markdown: https://twigbit.com/de/blog/rag-vs-fine-tuning-for-smes/llms.txt
- [Wann ein Agent und wann ein Workflow](https://twigbit.com/de/blog/agent-vs-workflow): Agenten sind mächtig, aber die meisten produktiven KI-Features sind mit einem deterministischen Workflow besser bedient. So entscheiden wir. — markdown: https://twigbit.com/de/blog/agent-vs-workflow/llms.txt
- [KI, die in der Produktion überlebt](https://twigbit.com/de/blog/shipping-ai-that-survives-production): Demos sind einfach. Die Lücke zwischen einem überzeugenden Prototyp und einem verlässlichen Produkt ist der Punkt, an dem die meisten KI-Projekte scheitern. — markdown: https://twigbit.com/de/blog/shipping-ai-that-survives-production/llms.txt

## More

- [Sitemap](https://twigbit.com/sitemap.xml)