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PROMPT ENGINEERING
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AI Agents: Goal-Driven Systems Beyond Chatbots
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AI Agents aren’t just chatbots. They’re goal-driven systems that sense → reason → plan → act → learn. Key building blocks:
• Goals + tasks
• System prompt + oversight
• Memory (short + long term)
• Tools (web, code, apps, data, functions) The real shift: AI moving from -
What Actually Is an AI Agent? Understanding Agentic Capabilities
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Over the past couple of years, you’ve heard us reference “agents” and “agentic capabilities,” nebulous concepts that are designed to help you with coding, booking trips, and other complex multi-step tasks.
— Google AI (@GoogleAI) 24 novembre 2025
But, what actually IS an agent?
We think of AI agents as systems that… pic.twitter.com/ypawDuJX5aOver the past couple of years, you’ve heard us reference “agents” and “agentic capabilities,” nebulous concepts that are designed to help you with coding, booking trips, and other complex multi-step tasks. But, what actually IS an agent? We think of AI agents as systems that
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Prompt Engineering Cheatcodes for AI Image Generation
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final cheatcodes: • write like you talk
• focus on clarity over poetry
• use layers
• use buckets
• control lighting and camera
• limit style anchors
• use negatives
• use micro-details
• build atmosphere
• simplify everything -
Optimizing prompts for better generative AI image results
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20. the biggest mistake to avoid don’t cram 50 details into one sentence. break it. layer it. simplify it. the model gives better images when the prompt breathes.
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Tips for maintaining character consistency in generative AI
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19. force consistency with “seed coherence” phrases you can add: “use consistent face structure”
“same character each frame”
“match lighting across all shots” nano banana handles continuity well when told clearly. -
Practical Guide to Short vs Long Prompts for Generative AI
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18. use 2 formats: short prompts vs long prompts
short = for creative exploration
long = for precision and client-like results example short: “cyberpunk girl walking in neon rain, film still” example long: idea:
camera:
lighting:
textures:
background:
details:
negatives: -
Using Color Psychology in Prompts for AI Models
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16. the “color psychology hack”
tell it the emotional reason behind colors. example:
“use cold blue to signal loneliness”
“warm orange for comfort”
“deep purple to add mystery” nano banana picks this up unbelievably well. -
Using Invisible Verbs to Improve AI Prompt Precision
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15. the secret sauce: “invisible verbs” these verbs guide the model without making your prompt messy: • “emphasize”
• “highlight”
• “showcase”
• “accentuate”
• “soften”
• “intensify” example:
“accentuate neon rim light around the character” -
Using Texture Prompts to Enhance AI Image Generation
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14. use the “texture dictionary” hack textures can change the entire vibe. try: • brushed steel
• velvet fabric
• frosted glass
• cracked dust
• smooth marble
• matte black carbon
• weathered wood textures = instant style.