Models, agents, and platforms: what are you actually choosing?
Use a support-ticket workflow to understand the layers behind AI products and compare the right things.
The FindMePrompt Blog
Ideas you can build on.
Practical guides to building with AI, understanding the trade-offs, and showing your work.
How to create a voice agent, step by step
Understand STT, LLMs, prompting, RAG, TTS, and voice settings—then connect them into a conversation.
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How to evaluate an AI tool before committing to it
Define acceptance criteria, save actual outputs, measure review effort, and compare tools on one repeatable task.
Build a support-ticket summary you can check
Classify a synthetic ticket dataset, preserve evidence, and calculate verified totals with a small Python script.
ElevenLabs vs Vapi vs Retell: choosing a voice-agent platform
Compare documented approaches, deployment questions, and a repeatable trial plan—without invented rankings.
Managed voice agents vs building your own pipeline
Compare control, integration work, maintenance, and evaluation before choosing a voice-agent architecture.
OpenAI, Gemini, Claude, Kimi, ElevenLabs, and Ollama: what should you compare?
Choose the right layer: named models, voice platforms, or local and cloud runtimes. Build a shortlist around your actual task.
How to create a voice agent, step by step
Understand STT, LLMs, prompting, RAG, TTS, and voice settings—then connect them into a conversation.
How to test a prompt, step by step
Create test cases, define what a correct answer looks like, and check whether a prompt revision actually improves the result.
How to build a document assistant with RAG
Learn how documents become searchable passages, how an LLM uses the results, and why a citation still needs checking.
How to write an AI project case study
Explain your problem, implementation, decisions, and test results without turning a learning project into a sales pitch.
Earlier articles
Browse the original article archive. Model comparisons and time-sensitive details may reflect their publication date.
How to Write Better AI Prompts: A Complete Guide for 2024
Master the art of prompt engineering with proven techniques that get you better responses from ChatGPT, Claude, and other LLMs. Learn the frameworks used by professionals.
ChatGPT vs Claude vs Gemini: Which AI Model Is Best for Your Use Case?
Comprehensive comparison of the top 3 AI models. Discover which LLM excels at coding, writing, analysis, and creative tasks with real-world examples and benchmarks.
50 Best ChatGPT Prompts for Developers in 2024
Copy-paste ready prompts for debugging, code review, documentation, testing, and more. Save hours every week with these battle-tested developer prompts.
Prompt Engineering Best Practices: 10 Proven Techniques
Learn advanced prompt engineering techniques like chain-of-thought, few-shot learning, and role-based prompting that dramatically improve AI outputs.
30 AI Prompts for Content Writing That Actually Work
Generate blog posts, social media content, and marketing copy faster with these proven prompts. Includes templates for SEO, engagement, and conversion.
How to Use Custom Instructions in ChatGPT (2024 Guide)
Set up custom instructions that make ChatGPT remember your preferences, style, and context. Get consistent, personalized responses every time.
Claude Prompt Library: 25 Best Prompts for Every Task
Unlock Claude's full potential with these optimized prompts for analysis, writing, coding, and research. See why Claude excels at long-form content.
AI Prompt Templates for Marketing: Email, Ads & Social Media
Ready-to-use prompt templates for creating marketing campaigns, ad copy, email sequences, and social media content that converts.
GPT-4 vs GPT-3.5: Is the Upgrade Worth It? Detailed Comparison
Side-by-side comparison of GPT-4 and GPT-3.5 capabilities, pricing, and performance. Discover if GPT-4 is worth the cost for your use case.
Anthropic Claude vs OpenAI ChatGPT: Comprehensive Comparison 2024
Detailed comparison of Claude 3 and ChatGPT-4 performance across coding, writing, analysis, creativity, and safety. Real benchmarks, pricing analysis, and recommendations for different use cases including enterprise applications.