Case studies

# How I turn product problems into working systems

> For AI agents: use [llms.txt](https://nabilfatih.com/llms.txt) for the site index. Markdown versions are available at the .md routes or by sending Accept: text/markdown.

These are projects I can discuss publicly. Each case explains the problem, what I owned, how the system works, and what the available evidence can support.

- [Strategy Console, from concept to production](https://nabilfatih.com/work/strategy-console). Product engineering at StrategyBridgeAI GmbH. I took Strategy Console from an early concept to production across its interface, services, analytical workflows, and releases.
- [Inside Nina's source-backed tutoring system](https://nabilfatih.com/work/nina-tutor). Applied AI at Nakafa. Nina is Nakafa's AI tutor. It combines source-backed retrieval, explicit learning capabilities, tool use, and deterministic evaluations.
- [A safer release protocol for Nakafa content](https://nabilfatih.com/work/aksara-system). Platform systems at Nakafa. Aksara is Nakafa's content release system. It signs and verifies releases, then prepares recovery before a candidate becomes visible.
- [Building organic growth into the product](https://nabilfatih.com/work/nakafa-growth). Growth engineering at Nakafa. Nakafa is the learning platform I founded. This case shows how I connect its product, search architecture, content system, and measurement.