Ivan’s Substack
Ivan MartynovMy personal Substack
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 103 | Founded | a year ago | Last Issue | 7 days ago |
| Active | |||||
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imartynov.substack.comLatest Issues
Prompt Engineering book, Chapter 9: Observability & LLMOps
Introduction: Flying Blind in Production
Deploying an AI system is only 20% of the battle. The remaining 80% is keeping it running reliably, affordably, and safely. In traditional software, we have dashboards for CPU and RAM. In AI, we...
Prompt Engineering book, Chapter 8: Orchestration Frameworks
Introduction: The Glue of AI Systems
In the earlier chapters, we learned how to build single prompts, structure outputs, and manage context. But as an AI system grows, you quickly realize that managing 50 different LLM calls, tool integ...
Prompt Engineering book, Chapter 7: Prompt Versioning & Testing (PromptOps)
Introduction: Prompts are Code
In the past, prompts were often “hidden” as hardcoded strings deep within a Python file. This made them nearly impossible to track, peer-review, or roll back. In 2026, we follow the principle of PromptOps:...
Prompt Engineering book, Chapter 6: Evaluation-Driven Development (EDD)
Introduction: Stop Guessing, Start Measuring
In the early days of AI, prompt engineering was essentially “guesswork.” You would tweak a few words, run it once, see if the output “looked good,” and then deploy it. In 2026, this approach...
Prompt Engineering book, Chapter 5: Prompt Pipelines
Introduction: Moving Beyond the Single Message
In the previous part, we focused on the individual components of a prompt—its architecture, techniques, and context. But in 2026, real AI value is built not by single messages, but by Promp...
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