DOSSIER
Notes from the Lab
The Sakızlı AI journal — research notes, workflows and field reports from the applied-AI field, grouped by topic.
How this is made
These pieces come out of my own real-world lab work and my day job as an AI instructor — years of hands-on professional experience, plus the versioned, ever-varied course material I teach daily and across multi-month programs. For the Dossier I select, curate and edit every one of these pieces myself as the human in the loop; AI helps with drafting and structure, but it never makes the editorial calls. Members get the deeper cut of that experience as new pieces land.
Prompt & Context Engineering
How to write, structure and engineer the context around a model — from prompt craft to full context engineering. Later pieces go further: how to supercharge your own agentic AIs with agentic AI and a directly-connected Obsidian vault.
View articles →40 ArticlesAI Data Engineering
The data layer beneath applied AI — from a clean data foundation and quality & traceability to lifecycle, retrieval and control, agentic operative systems, and governance, risk & consulting. How to make data ready for models, and models accountable to data.
View articles →8 ArticlesAI Project Management
Running AI initiatives end-to-end — scoping, stakeholder alignment, sequencing, rollout, adoption and governance. How to plan and steer AI projects so they actually ship and stick.
View articles →