Library·13 min
Monica vs Merlin: All-in-One AI Extensions Compared (2026)
Monica vs Merlin compared feature by feature: chat, image, video, browser agents, and translation, checked against each product's live listing today.
Read moreBlog
Better prompts. Better AI results.
Tutorials, comparisons, and frameworks to write better prompts for ChatGPT, Claude, Gemini, Midjourney, Veo3 and Kling.
Page 7 of 29
Library·12 min
MCP vs Custom GPT Actions: Two Ways to Extend AI
MCP vs Custom GPT Actions: one is a versioned, portable protocol; the other is a ChatGPT feature now gated to Business, Enterprise, and Edu workspaces. What each is, and when to use which.
Read moreLibrary·12 min
TypingMind Review: Is BYOK Cheaper in 2026?
TypingMind review: what bring-your-own-key actually costs against a flat monthly fee, with the crossover point worked out from today's OpenAI, Anthropic and Google pricing.
Read moreEngineering·13 min
Material and Texture Prompting (Metal, Glass, Fabric, Skin)
Metal, glass, fabric and skin behave differently under light, so generic texture prompts for AI images turn all four into plastic. What actually changes each one, checked against vendor docs.
Read moreVideo·11 min
Storyboarding with AI Images (Shot-by-Shot)
AI storyboard prompts that actually hold together shot to shot: what OpenAI admits about character consistency, what Google offers instead, and the honest mitigation stack.
Read moreImage·12 min
Colour and Palette Prompting (Getting Exact Colours)
Hex codes work as color prompts on some AI image models and are explicitly not understood on others. What each vendor actually documents, and what reliably moves color instead.
Read moreEngineering·10 min
AI as an Executive-Function Aid (ADHD-Friendly Workflows)
Using AI for ADHD-style attention often means workflow scaffolding, not treatment: a first-step prompt, externalized working memory, and a re-entry note for broken focus.
Read moreEngineering·11 min
How to Build a Personal AI System (Not Just a Prompt List)
How to build a personal AI system: a context layer, templates, variables, and a review habit working together — not just another list of saved prompts.
Read moreChatGPT·11 min
How to Port a Prompt from One Model to Another
Port prompt between models without it silently breaking: the real parameter names, placement rules and stop-sequence limits, verified from each vendor's own docs.
Read moreEngineering·12 min
Building Your Professional Context Profile (Once)
A professional context ai profile bundles your role, audience, tone, and constraints into one document, written once and reused everywhere, instead of re-explaining yourself in every chat.
Read moreEngineering·11 min
Turning a Repeated Workflow into a Template
The move from workflow to template, step by step: mapping the steps you actually run, separating the constant scaffold from the variable parts, and testing the result before you trust it.
Read moreEngineering·11 min
Structure Control: ControlNet-Style Guidance in Prompts
ControlNet prompting is a category error for most hosted tools. Here is exactly what Google, Ideogram, GPT Image 2, and FLUX give you instead of true structure control.
Read moreVideo·11 min
Explainer Video Prompts (Concept to Clip)
Explainer video prompts, concept to clip: metaphor selection, the shot-list pipeline, what Kling, Runway and Veo generate per shot, and where voiceover and text get assembled.
Read moreChatGPT·12 min
How Accurate Are Perplexity's Citations? What the Research Actually Shows
Perplexity citation accuracy, from the one real study that measured it: a 1,600-query test across eight AI tools, plus a two-minute way to check any citation yourself.
Read moreChatGPT·11 min
Multi-Model Workflows: Draft in One, Edit in Another
A multi model workflow means routing drafting and editing to different AI models. Here is the field-name map, the context-placement split, and the chain-of-thought rule that actually transfers.
Read moreVideo·10 min
Crowd and Background Character Prompts
Crowd scene AI video prompts: why OpenAI documents a character-consistency limit but Google doesn't, per-model figure caps, and the composition workarounds that actually help.
Read moreChatGPT·12 min
Prompting the Code Interpreter (Python Inside ChatGPT)
ChatGPT code interpreter prompts only work once you know the sandbox: no internet access, a 20-minute idle limit, and file rules most guides skip.
Read moreChatGPT·11 min
How to Get Consistent Output Every Time
Getting consistent AI output is not a temperature setting. It takes a fixed system prompt, a schema, worked examples, and a validator, plus knowing exactly where that still falls short.
Read moreVideo·12 min
Cost per Usable Clip: The Real Economics of AI Video
Nobody prices a generation, they price a usable clip. The real ai video cost per vendor: per second, per generation, per frame, and why the sticker price is rarely the real one.
Read moreEngineering·11 min
Prompting for Test Generation That Finds Real Bugs
Test generation prompting that catches bugs, not tests that merely run. The clauses that stop implementation-coupled assertions, trivial passes, over-mocking, and skipped edge cases.
Read moreEngineering·12 min
Prompting for CI/CD Pipelines
CI/CD prompts for AI-generated pipelines routinely leak secrets. The five things to check in generated GitHub Actions YAML before you merge it, with a working, safe example.
Read moreEngineering·13 min
Prompting for Go and Rust
Why AI-written Go usually compiles but misbehaves, why AI-written Rust often won't compile at all, and how to prompt each language for code that actually holds up.
Read moreChatGPT·12 min
How to Fact-Check What ChatGPT Tells You
A step-by-step workflow for fact-checking ChatGPT: which claims to isolate, where to verify each one, and why asking the chatbot to check itself is not a fact check.
Read moreEngineering·11 min
Rephrase and Respond Prompting: The Real 2023 Paper Behind RaR
Rephrase and respond (RaR) has the model restate your question before answering. It's a real 2023 UCLA paper, not folklore, with the exact prompt and the numbers.
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