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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