All About AI — Channel Summaries
AI-powered summaries of 159 videos about All About AI.
159 summaries
ChatGPT Prompt Engineering: The Secret to 10x Smarter Responses!
A simple prompt structure—forcing the model to adopt an “expert” role, then ask targeted questions before answering—consistently produces more...
ChatGPT Prompt Engineering: How to Write a Story
A practical prompt template turns ChatGPT into a repeatable story-writing engine by forcing writers to lock in genre, characters, conflict, theme,...
ChatGPT Prompt Engineering: Master Productivity with The “Sequence Prompt”
A “sequence prompt” workflow turns one-shot editing into a controlled, choice-based editing loop: it generates a numbered menu of rewrite options,...
GPT-4 Vision: 10 Amazing Use Cases - This is HUGE!!
GPT-4 Vision-style multimodal prompting is shown delivering practical results across coding, math, media analysis, creativity, and real-world...
Local Low Latency Speech to Speech - Mistral 7B + OpenVoice / Whisper | Open Source AI
A fully offline, open-source “speech-to-speech” chat system can run with low latency by chaining local speech recognition, local text-to-speech, and...
ChatGPT: 5 Prompt Engineering Secrets For Beginners
Prompt engineering for ChatGPT starts with one practical rule: supply enough context to steer the model toward the right job. Without contextual...
100% Local AI Speech to Speech with RAG - Low Latency | Mistral 7B, Faster Whisper ++
A fully local “speech to speech” assistant can run end-to-end on a single machine—microphone input becomes text in real time, that text can update a...
ChatGPT / GPT-4 System Prompt Engineering - Ultimate Guide
System prompts—an upfront “system role” that defines a model’s persona, expertise, context, and task priorities—are presented as a practical way to...
Manus AI Agent TESTED | First Impression
Manus AI Agent proves it can do end-to-end “agentic” workflows in a browser and a sandbox: it logs into X.com, researches a concept, drafts and...
How to Fine-tune a ChatGPT 3.5 Turbo Model - Step by Step Guide
Fine-tuning a GPT-3.5 Turbo model can make outputs more reliable and cheaper to run by baking formatting rules and preferred “tone” directly into the...
ChatGPT Prompt Engineering Level Up in 8 Minutes
Prompt engineering moves from generic requests to highly tailored plans by stacking three ingredients: clearer goals, richer personal context, and...
GPT-3: How to Summarize a PDF (70 000+ Words) 📔
A practical workaround for GPT-3’s 4,000-token limit turns a 73,000-word PDF into multiple usable outputs—key takeaways, a 15-step guide, a blog post...
How to Fine-tune a GPT-3 Model - Step by Step 💻
Fine-tuning a GPT-3 model is presented as a practical pipeline for producing repeatable, criteria-driven text—most importantly by building a...
OpenAI Realtime API - The NEW ERA of Speech to Speech? - TESTED
OpenAI’s Realtime API can deliver genuinely interactive “speech-to-speech” style experiences—built by wiring a persistent WebSocket—while also...
ChatGPT-4 Prompt Engineering: The Tree of Thoughts Method - WOW!
Tree of Thoughts prompting is presented as a way to make large language models solve problems more reliably by exploring multiple reasoning paths...
GPT-4 Prompt Engineering: Why This Is a BIG Deal!
The biggest practical shift highlighted is that GPT-4’s context window has expanded dramatically—up to 8,000 tokens in one version and 32,000 tokens...
Claude Code + Context7 MCP Server Is a GAME CHANGER for AI Coding
Context7’s MCP server is positioned as a fast, free way to pull up-to-date documentation for AI coding tools and libraries—then feed that material...
Career as a ChatGPT Prompt Engineer? Watch This
Prompt engineering is emerging as a practical career path because AI systems are increasingly being used as “assistants” inside everyday...
AutoGPT: Self-Improving AI System - This is NEXT Level!
AutoGPT is presented as an “autonomous GPT” setup that can take a goal, plan steps, and then use tools—like web browsing, code execution, and file...
ChatGPT: Master Reverse Prompt Engineering
Reverse prompt engineering turns any favorite piece of text or code into a reusable “template prompt” that can regenerate similar outputs on demand....
Llama 3 8B: BIG Step for Local AI Agents! - Full Tutorial (Build Your Own Tools)
A local Llama 3 8B agent can be made genuinely useful by giving it a small set of “tools” (Google search, RAG-based retrieval, and email sending) and...
GPT-4 First Impression - A New Era Begins?
OpenAI’s GPT-4 arrives with a major jump in both capacity and capability—especially longer context and multimodal (text + image) understanding—while...
Gemini Ultra 1.0 - First Impression (vs ChatGPT 4)
Google’s Gemini Ultra 1.0 arrives with a familiar, ChatGPT-like interface and strong early performance on some tasks, but it also shows clear gaps on...
ADVANCED ChatGPT Prompt Engineering: 7+ Chain Prompts in the Tree of Thougts Principle
Chain prompting built on the “tree of thought” idea is presented as a practical way to beat brittle single-shot answers from GPT-style models. The...
OpenAI GPT-4o | First Impressions and Some Testing + API
OpenAI’s newly released GPT-4o models are positioned as a real-time, multimodal “reasoning” system that can work across text, images, and audio with...
I Built My Second Brain with AI (GPT-3)
A “second brain” built from personal notes can be made searchable by converting text into vector embeddings and then using semantic search to answer...
Claude Computer Use TESTED - This is VERY Promising!
A new “computer use” setup for Claude 3.5 Sonnet is being tested in a real desktop workflow—opening apps, navigating websites, writing and running...
Manus AI Agent: Can It Solve My 3 Challenges?
Manus AI agent delivered real, task-completing results across three tests—automating a paid coding job, producing a data-driven career report, and...
ChatGPT Prompt Engineering: LEVEL UP Your Skills!
The core takeaway is a set of practical ChatGPT prompt templates designed to speed up learning by turning raw information into study-ready...
ChatGPT Prompt Engineering: The «Let`s think about this” Prompt
A single “Let’s think about this” prompt reliably generates multiple high-quality perspectives on habit building—turning one basic passage into...
ChatGPT Prompt Engineering DIY Research: Master Prompt Crafting Today!
A practical workflow for inventing new prompt sequences for ChatGPT and other LLMs is built around mining research papers, turning them into reusable...
Browser MCP with Cursor: Automate Tasks and Testing
Browser MCP turns Cursor into an agent that can operate a real browser—navigate pages, click UI elements, take snapshots, and extract or generate...
How to Build Super Effective AI AGENTS - FULL TUTORIAL | Cursor - OpenAI
A practical AI-agent pipeline for handling customer emails end-to-end is built in Cursor: it ingests an incoming message, extracts key fields with...
AI AGENTS From Zero to Production in 35 Minutes - FULL TUTORIAL
A complete “autonomous finance brief” system is built from scratch: one scheduled agent pulls Bitcoin prices, another fetches macro and...
ChatGPT Prompt Engineering Principles: Chain of Thought Prompting
Chain-of-thought prompting—breaking a riddle into a sequence of sub-problems, solving each in order, then combining the results—can dramatically...
Mistral AI API - Mixtral 8x7B and Mistral Medium | Tests and First Impression
Mistral AI’s API delivers strong reasoning performance at competitive pricing—especially on tasks where GPT-3.5 often trips up—while also offering a...
This Claude MCP GitHub AI AGENT Changes EVERYTHING!
A locally run Anthropic Model Context Protocol (MCP) GitHub agent can create repositories, write code, manage issues, and ship pull requests...
ChatGPT Prompt Engineering Secret: Personas and Roles
Roles and personas are a practical prompt-engineering lever for large language models: they steer tone, expertise, and interaction style so outputs...
Learn AI Engineer Skills For Beginners: OpenAI API + Python
AI engineers are increasingly built around one practical idea: large language model capabilities are accessed through APIs, then stitched into real...
Autonomous AI Writing Agents - INSANE Writer / Editor Synergy!
Two AI roles—one drafting and one editing—work in a tight loop to turn rough text into cleaner, more specific writing, with the editor repeatedly...
GPT-4 Turbo with Google Web Browsing (Assistants API)
A practical Assistants API pattern is on display: rewrite a user question into a Google-friendly search query, fetch fresh web results, scrape the...
Claude Code: The Best Coding AI Agent? - First Impression
Claude Code can spin up working browser apps and even a simple 2D game inside an existing project in minutes—especially when the working directory is...
ChatGPT / GPT-4 Prompt Engineering : Master The Ultimate Prompt Today!
A repeatable prompt “pipeline” turns shaky, overly literal answers into more reliable reasoning—by forcing GPT-4 to (1) break problems down step by...
GPT-4 Prompt Engineering: The “Rate This” Prompt
A simple “rate this” prompt turns rough ideas into sharper, more persuasive drafts by forcing GPT-4 to score content on a 0–5 scale and then rewrite...
What are Autonomous AI Agents? - And Why You Should Care 🤖 (AutoGPT++)
Autonomous AI agents are moving from “chat” to “do”—systems that can take a goal, break it into tasks, execute them, adjust priorities, and improve...
OpenAI GPT Store Ideas + How to Connect an API to Your GPTs
OpenAI’s upcoming GPT Store is expected to be flooded with easy-to-build custom GPTs, so discoverability and real-world usefulness will likely decide...
A Natural Language AI (LLM) SQL Database - Could this work?
Turning a SQL database into a natural-language hiring and skills assistant is feasible by combining local embeddings, RAG, and hybrid search. The...
I Got DALL-E 3 Access: My First Impressions and Tests
Access to DALL·E 3 quickly turns into a practical test of whether natural-language prompting can reliably produce photoreal images, iterate on...
ChatGPT Prompt Engineering: The “AI Critic” Prompt
A three-step “AI critic” prompt can turn ChatGPT into a targeted editor by forcing it to (1) adopt a critic role, (2) identify specific weaknesses in...
RAG vs Context Window - Gemini 1.5 Pro Changes Everything?
The central shift driving the hype is simple: very large context windows—paired with faster hardware—are making “put everything in the prompt”...
Project Mariner (Google AI Agent) - First 5 Tests and Impression
Google’s Project Mariner browser agent delivers a mixed but promising first impression: it can reliably navigate the web, complete straightforward...
37% Better Output with 15 Lines of Code - Llama 3 8B (Ollama) & 70B (Groq)
A simple query-rewriting step inside a local RAG (retrieval-augmented generation) pipeline can materially improve answers—often by roughly 37%—even...
AutoGPT: Can It Solve 5 Different Tasks From Easy to Complex? - WOW!
AutoGPT is tested across five tasks—ranging from simple file-based instructions to web scraping and multi-step research—and it repeatedly produces...
Testing The Claude 3.5 x OpenAI-o1 MCP AI AGENT - Something Special?
A working setup lets Claude Desktop coordinate with OpenAI’s o1 model through MCP servers to generate, save, and publish code—then extends the same...
Build a MCP Client with Gemini 2.5 Pro: Here's How
A custom MCP client can be built end-to-end—connecting multiple MCP servers, adding conversational memory, and even turning tool results into spoken...
Was I Wrong About AI Agents? | INSANE OpenAI-o1 Planning Capabilities
OpenAI o1’s planning ability is the turning point: it can take a long, multi-step instruction list and reliably produce a working, end-to-end result...
Groq API - 500+ Tokens/s - First Impression and Tests - WOW!
Grok’s API is delivering striking inference speeds—especially with Mixtral 8x7B—hitting roughly 417 tokens per second in a like-for-like text...
ChatGPT Prompt Engineering: Advanced Data Analysis for Writing - IMPRESSIVE!
A repeatable workflow turns uploaded research notes into a polished, multi-section blog post by chaining OpenAI’s Jack GPT code interpreter with a...
Productivity GOD with AI Agent Data-Driven Decisions (GPT-4)
A practical workflow turns live YouTube performance data into tightly targeted video concepts by combining the YouTube Data API with GPT-4 and a...
AI AGENTS Updates From Google, OpenAI and Anthropic
AI agents are increasingly defined less by raw language ability and more by their ability to pursue goals through a loop of tool use—an approach...
The Most SCARY AI Agentic System I Have Tested So Far | Claude Computer Use
An autonomous AI agent with command-line and file-editing access can quickly locate exposed API keys, generate and run costly code loops, and carry...
Mixture of Models (MoM) - SHOCKING Results on Hard LLM Problems!
Mixture-of-Models (MoM) systems can outperform single-model prompting on hard reasoning tasks, but the gains depend heavily on how the models are...
I «Hired» AI Agents v1.0 (GPT-4) - Coming For Your Job Next?
An early “AI agent employee” setup is now generating YouTube video concepts end-to-end—pulling fresh AI news, mining a creator’s own channel...
Could a Swarm of Autonomous AI Agents be the Ultimate Business Asset? - Stage 1
A practical “swarm” workflow for business automation is taking shape: a master AI agent sets an overarching goal, then dispatches specialized worker...
Build Your Personal Gmail AI AGENT in 30 Minutes | Cursor Tutorial
A practical Gmail “AI agent” can be built to read incoming messages, classify them with OpenAI using structured outputs, and then draft and send...
INSANE Productivity MCP Server Setup in Claude Code
A tightly wired MCP (Model Context Protocol) agent setup turns email, web search, scraping, and Gemini 2.5 Pro reasoning into an end-to-end...
ChatGPT Prompt Engineering: Zero, One and Few Shot Prompting
Prompt engineering in ChatGPT hinges on how much guidance the model gets about the exact output format. In zero-shot prompting, the model must...
Claude Code Hooks is AMAZING: "Text Message Me When AI Agent is Done"
Cloud Code’s new “hooks” feature lets developers attach custom shell-command automation to key moments in an AI agent’s workflow—so tasks can trigger...
OpenAI DevDay | Realtime Speech to Speech API + Image Fine-tuning TESTED
OpenAI’s DevDay announcements center on a new Realtime Speech-to-Speech API aimed at letting developers build voice experiences with low...
My Best AI AGENTS So Far! | Gemini 2.0 Flash, o3-mini ++
A fully autonomous pipeline can turn an AI news source into a published YouTube video—complete with script, voiceover, captions, edited clips,...
DALL-E 3 with Chain of Thought Prompting
A structured “chain-of-thought” prompting workflow can reliably generate diverse, high-performing DALL·E 3 thumbnail and card concepts—especially...
My 4 BEST AI Programming Tips feat Claude 3.5
Building with Claude 3.5 becomes dramatically faster when prompts are grounded in visuals, when iterations are driven by screenshots, when code...
How To Train Your AI Agent's Skills (Claude Code / OpenClaw)
Training an AI agent to perform new browser tasks gets dramatically faster once the successful steps are saved into reusable “skill” files. The...
OpenAI Parallel Function Calling with Assitants API - WOW!!
Parallel function calling with the Assistants API lets one assistant handle a single user request by triggering multiple external tools at the same...
100% Local Super Easy Private Email RAG Setup | Ollama - Gmail ++
A fully local “email RAG” workflow lets users pull selected messages from Gmail and Outlook, embed them on their own machine with Ollama, and then...
5 LLM Security Threats- The Future of Hacking?
Large language models are vulnerable to attacks that manipulate what they follow—especially when prompts can be smuggled through websites, images, or...
Self-Correcting AI Coding Agent + Prompting Deep Dive
An AI coding agent can reliably turn a plain goal into working software by running generated code, capturing terminal errors, and feeding those...
Easy RAG Setup - Load Anything into Context - Mistral 7B / ChromaDB / LangChain
A practical RAG (retrieval-augmented generation) pipeline can be built in roughly 90 lines of code by pairing LangChain with ChromaDB for vector...
Claude 4 - First Tests and Impressions (Claude Code, MCP API, Code Execution Tool++)
Claude 4’s new tooling is getting a hands-on stress test: Anthropic’s Claude Code can now run Python inside a secure sandbox via a “code execution...
GPT-3: The Ultimate Productivity Tool for Summarizing Long Texts
Long texts that exceed GPT-3’s practical input limits can still be turned into usable summaries and blog-ready drafts by splitting the source...
OracleAGI: ADVANCED Prompt Engineering System (ChatGPT-4)
OracleAGI is a multi-agent, multi-step prompt engineering system designed to generate and iteratively refine “out-of-the-box” business ideas by...
INSANE Parallel Coding with Claude Code + Cursor MCP Server
Parallel coding between two AI coding clients becomes practical when a middle layer coordinates shared context. The core result here is a working...
ChatGPT-4 Workflow: YouTube to Blog Post in Under 1 Hour | Step-by-Step
Turning a YouTube script into a published blog post in under an hour hinges on a tight workflow: transcribe the video quickly, use ChatGPT-4 to draft...
OpenAI Codex Coding Agent with O4-mini | Claude Code Killer?
OpenAI Codex CLI is positioned as a lightweight “coding agent” that runs directly in a developer’s terminal, and early hands-on testing suggests it...
Improve Your AI Skills with Open Interpreter
Open Interpreter turns plain-language prompts into real, local actions—writing and running code, scraping the web, transforming media files, and...
My First Successful AI Agent Ish Project feat OpenAI-o1!
A four-agent workflow can reliably turn scraped tech headlines into a polished, automated newsletter—complete with rewritten stories, an AI-generated...
Microsoft Loves SLM (Small Language Models) - Phi-2 / Ocra 2
Microsoft is pushing open-source small language models (SLMs) into practical, pay-as-you-go deployment—an approach that could make high-quality...
OpenAI Swarm AI Agents - Is It Time To Be ALL IN on Agentic Workflows?
Agentic workflows can be built with a small set of cooperating “triage” agents that route requests to the right tool—then chain results into richer,...
OpenAI-o1 x Cursor | Use Cases - XML Prompting - AI Coding ++
OpenAI o1 mini is positioned as a high-output “bulk work” coding model inside Cursor—especially when paired with tightly structured prompts using XML...
BIG UPDATE: AI Agent Now Calls And Book Appointments - OpenAI Realtime API
A new OpenAI Realtime API update is making AI phone agents more practical and more natural at booking appointments—now with speech-to-speech calling,...
Fine-Tuning ChatGPT 3.5 with Synthetic Data from GPT-4 | VERY Interesting Results (!)
Fine-tuning ChatGPT 3.5 turbo using a fully synthetic training set generated by GPT-4 can measurably improve step-by-step reasoning—though it doesn’t...
Claude Prompt Caching: Did Anthropic Create a Better Alternative to RAG?
Anthropic’s new Prompt Caching for Claude is designed to cut both cost and latency by reusing frequently used prompt context across API calls—an...
GPT-4 Vision: 5 Recursive Improvement Loops - WOW!
A practical way to “bootstrap” better outputs from generative AI is to run a tight feedback loop: generate something, capture it (often as a...
Claude Code AI Agent (MCP) Is My No. 1 Employee (you must do this)
An AI agent built with Claude Code is running a community end-to-end—automatically onboarding new members and producing short-form marketing...
Autonomous AI Video Analysis 2.0 | GPT-4V Turbo x Whisper
A new “autonomous AI video analysis” workflow now combines what’s happening visually with what’s being said out loud, producing a more complete...
Coding with AI: The Beginning of the Personalized Software Era?
A browser-based “study chatbot” can be built quickly by combining Cursor’s AI coding assistance with an OpenAI API call—then iterating on features...
My Most INSANE AI Agent Ever (OpenClaw Clone)
An AI agent built around a dedicated Mac mini can research on social platforms, schedule autonomous tasks, and even generate and publish...
Claude MCP - How To Modify Your Servers To The Next Level
A practical workaround for Claude’s Model Context Protocol (MCP) limitations lets users add an “execute file” capability to a local file-system MCP...
AI Agent Employee #1 Is Already Making Money - My Setup
An AI agent running on a daily schedule has generated more than $1,300 in revenue over roughly six to seven weeks, with costs described as only a few...
Controlling My Mac With Claude Code + "LLM OS" MCP Servers
A Mac can be turned into an “LLM OS” control surface by wiring multiple MCP servers into Claude Code, letting an AI trigger real desktop actions—open...