What are Deep Agents? We break down the key things to know when you’re building an agent to handle more complex tasks: – The 4 essential tools for Deep Agents
– When to use Deep Agents vs LangChain or LangGraph
– Best practices for building Deep Agents Full details in the
LLMS
-
Deep Agents: Essential Tools and Best Practices Guide
By
–
-
Using Color Psychology in Prompts for AI Models
By
–
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
By
–
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 Emotion Cues to Influence AI Model Responses
By
–
11. use emotion cues yes, this matters.
nano banana responds to emotional atmosphere. examples: • “lonely mood”
• “cozy and warm”
• “cold futuristic calm”
• “tense atmosphere”
• “nostalgic sadness” emotion lines add magic. -
Using precision modifiers to improve LLM prompt adherence
By
–
8. use “precision modifiers” add 1 of these to control how strongly nano banana sticks to your instructions: • “exactly as described”
• “faithful to prompt”
• “strict composition”
• “high coherence” this is how you stop the model from free-styling too much. -
Using Camera Hack Prompts for Cinematic AI Image Generation
By
–
4. use the “camera brain hack” nano banana responds insanely well to camera instructions.
so treat it like a real cinematographer. try: • “shoot on 35mm film”
• “macro close-up”
• “f1.4 shallow depth”
• “volumetric lighting”
• “anamorphic lens”
• “motion blur” these -
AI21 Labs Recognized as Emerging Visionary in Gartner Quadrants
By
–
We have been recognized as an *Emerging Visionary* in two @Gartner_inc
® Emerging Market Quadrants: Generative AI Engineering & Generative AI Model Providers. This reflects what we hear from the market: our customers want to partner with AI companies that offer robust frontier -
Automating Marketing Agency Workflows with Gemini 3 Pro
By
–
R.I.P Marketing agencies. Gemini 3 Pro is so powerful it just replaced half our team with one mega-prompt. It now handles market research, content creation and campaign planning all of this in few seconds. Here’s the exact mega-prompt we use to automate everything:
-
Explaining the Internal Reasoning Mechanism of AI Models
By
–
here’s what actually happens inside:
the model maintains three things: • x = the question
• y = current answer
• z = reasoning state (like internal scratch work) each cycle: update z based on x, y, and previous z. then update y based on the new z. think of solving a Sudoku. -
Small 7M Parameter Model Outperforms Large DeepSeek R1 on Reasoning
By
–
a 7M parameter model just beat DeepSeek R1’s 671 billion parameters on hard reasoning tasks. 45% vs 15.8%. trained in hours. fits in 28MB. runs on a single GPU. the trick is that it thinks twice. LLMs generate answers in one pass. make a mistake early, the whole thing