05.24.2026—Promptology
Prompting in Turkish: The Silent Killer of Turkish Startups
Our working thesis: the vast majority of businesses that remain Turkish-only in prompting will pay a hidden token, quality, and execution tax in the next AI wave.
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Izlūkošanas raksti ar tagu#prompting
Izpētiet stratēģiskos plānus, pēcnāves analīzes un tehniskos rakstus par tēmu #prompting.
05.24.2026—Promptology
Promptology: The New Discipline
How communicating with frontier models shifted from interactive chat messages to the core technical infrastructure and operational system language of modern enterprises.
05.24.2026—Promptology
The Turkish Prompt Tax: AI's Hidden Inflation
Why writing prompt logic in Turkish inflates token usage, increases execution latencies, and reduces the effective size of your model's context window.
05.24.2026—Promptology
Why English Prompts Outperform
Why the internal logic representation of neural networks makes English prompting more precise for technical tasks, code generation, and complex debugging.
05.24.2026—Promptology
Think Locally, Systematize in English
The hybrid prompting blueprint: separating logical command pipelines from target-market brand voice generation.
05.24.2026—Promptology
Prompting is Programming
How prompt logic shifted from interactive chat messages to automated API pipelines, state machines, and version-controlled software repositories.
05.24.2026—Promptology
Prompting for Autonomous Agents
How agentic workflows require a complete shift from single-turn chat prompts to structured environment rules, bounds, and self-reflection loops.
05.24.2026—Promptology
Bad Prompts as an Operational Risk
Why vague and poorly constrained prompt structures create brand compliance failures, data leaks, and critical technical debt.
05.24.2026—Promptology
Standardizing Enterprise Prompting
How to design a standard operating procedure (SOP), prompt registries, version controls, and regression testing for model instructions.
05.24.2026—Promptology
Beyond Vibe Coding: Prompt Discipline
Why generating software systems purely via natural language prompting creates architectural debt, and how to implement code safety constraints.