The difference between a mediocre and exceptional AI image comes down to prompt structure. This guide covers style modifiers, camera terms, lighting, composition, and model-specific syntax for DALL-E, Midjourney, and Flux.
Travis Johnson
March 12, 2026 · 12 min
Temperature, top-p sampling, and prompt sensitivity cause AI outputs to vary significantly between runs. Understanding these parameters (and how to control them) makes your AI workflows dramatically more reliable.
Travis Johnson
November 24, 2025 · 9 min
A curated library of proven system prompts for writing, coding, research, customer service, analysis, and more, tested across GPT-4o, Claude, and Gemini with measurable quality improvements.
Travis Johnson
November 16, 2025 · 11 min
Reasoning models respond differently to prompts than standard models. Vague questions waste expensive thinking tokens. This guide shows you how to frame problems to get the most out of extended reasoning.
Travis Johnson
November 8, 2025 · 10 min
Each major AI model has quirks, preferences, and response patterns that differ from the others. These model-specific prompting techniques (with before/after examples) get significantly better outputs from each.
Travis Johnson
October 31, 2025 · 12 min
The prompts that worked in 2023 are different from what works today. This guide covers the core techniques (role prompting, chain-of-thought, few-shot examples, and more) with examples tested across 10+ models.
Travis Johnson
April 1, 2025 · 15 min
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