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. Every image on this site — title images and illustrations alike — is AI-generated. 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 →39 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 →21 ArticlesAI Ethics
Ethics before, during and after the prompt: who decides which problem is worth solving, who bears the consequences, and how responsibility, participation and correction are built into AI work. Grounded in NIST, UNESCO and OECD, worked through fictional SME cases.
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