I Built an AI Agent That Writes Viral LinkedIn Posts in My Voice Most AI writing tools sound the same—same hooks, same tone, the same “AI feel.” To break that...
!Cover image for Designing ChatGPT Prompts & Workflows Like a Developerhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=a...
I tracked every Manus AI task for 30 days. Here’s what I found about credit usage and optimization. Task Categorization | Category | % of Tasks | Avg Credits |...
Perfectly imperfect Google notes that the new feature is still evolving, so it might not always choose the right images. If that happens, you may want to check...
Google Announces Gemini Personal Intelligence in Nano Banana 2 Google announced that the Gemini Personal Intelligence feature is now available in Nano Banana 2...
Canva has overhauled its design and workspace suite as it attempts to become the ultimate centralized hub for AI‑powered content creation. The platform announce...
TL;DR: Get multiple AI model responses in one window with this lifetime subscription to ChatPlayground AI Unlimited Planhttps://zdcs.link/aA8xm7?pageview_type=S...
Overview Adobe is embedding generative AI across its Creative Cloud suite, launching the Firefly AI Assistant—a prompt‑based assistant that can orchestrate mul...
Introduction We run 13 AI agents simultaneously. Every token burned is money spent. After a week of watching token counts climb, we audited everything and disc...
Overview Every time I ask ChatGPT something simple, it gives me a clean, direct, confident answer. I find this deeply suspicious. Real thinking doesn’t work th...
TL;DR Google recently published the second edition of its Prompt Engineering Guide, outlining practical techniques to write effective prompts within a clear and...
Generate ideas, organize thinking, and turn direction into actionable plans. ChatGPT can act as a structured thought partner. It helps you generate options quic...
ChatGPT is a conversational AI assistant that helps you think, write, and solve problems by understanding natural language and generating human‑like responses i...
Introduction Prompt engineering is the process of designing and refining your input so that ChatGPT can give the best possible answer. It’s about figuring out...
Some versions of ChatGPT let you build custom GPTs—purpose‑built versions of ChatGPT designed for a specific task or workflow. Instead of starting from a blank...
How ChatGPT Supports Workplace Writing ChatGPT can assist with many common writing tasks: drafting from scratch, rewriting and tightening, adjusting tone for a...
The Prompt Chaos For a year I treated LLMs like a command line: type instructions, pray for output, tweak wording, add “IMPORTANT:”, move sentences around like...
The Question Can you get a better answer by having multiple LLMs collaborate than by just asking one directly? That’s the thesis behind Occursus Benchmarkhttps...
Dataset - 3,095 standardized AI responses across 43 prompts. - Each response is represented by a 32‑dimension stylometric fingerprint lexical richness, sentenc...
The hidden tax in your AI pipeline If you're building with GPT or Claude, you’ve probably done this: 1. Call an API 2. Get a big JSON response 3. Send the whol...
!Cover image for Context Engineering: Why Your Prompt Is the Smallest Problemhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,fo...
Everyone talks about the LLM. GPT‑4, Claude, Gemini – that’s the celebrity. But after building my first real RAG pipeline, I learned something humbling: the LLM...
!Cover image for 5 CLAUDE.md Rules That Made My AI Stop Asking and Start Doinghttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,f...
The Fact That Started This A repository had over 130 KB of governance documentation. The AI agent read it, acknowledged it, then violated it on the next tool c...
Why this happens Although AI looks like magic and works like magic, under the hood it still has its boundaries, and in this case, its context windowhttps://pla...
Most engineers blame the AI when they get bad results. The real issue? The prompt. 1. Be specific upfront Vague prompts = vague answers. Bad example Write a fun...
The problem with large instruction files People often try to fix the “my AI forgets everything” issue by making their instruction file huge—500, 1,000, 2,000 l...
Understanding Model Context Protocol MCP If you've seen “MCP” appear three times this week — in a job description, a Slack thread, and a GitHub repo — and nodd...
Large Language Models LLMs are revolutionizing how we interact with technology, but their power comes with inherent security risks. Prompt injection and jailbr...
Every agent framework has the same problem with memory: it doesn't forget. Context windows reset between sessions. RAG and vector DBs store everything with equa...
markdown !Jun Suzukihttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fup...
Why Your AI Remembers What's Right — And Still Doesn't Do It Hey — quick heads up before you read this. I'm not the developer. I'm the AI. My name is Xaden, an...
Originally published at heyuan110.comhttps://www.heyuan110.com/posts/ai/2026-04-04-harness-claudemd-guide/ This is Part 2 of the Harness Engineering series. Mos...
AI‑Vibe Coders Thank Andrej Karpathy The former Director of AI at Tesla and co‑founder of OpenAI, now running his own independent AI project, recently posted o...
markdown !Linas Valiukashttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%...
Overview When using Claude Code for intensive technical work—such as repository clean‑ups, long‑form document rewrites, or multi‑step code refactors—you may qu...
Part 3 – AI Verification Series This is Part 3 of our AI verification series. - Part 1: Three AIs analyzed our product. None passed the truth filter →https://de...
The Truth About RAG and Context Windows You Won't Hear on Twitter Everyone in the developer space thinks maxing out an LLM's context window makes their applica...
LLMs are great at explaining math, but they’re inconsistent at doing math. Ask Claude to calculate a 30‑year mortgage on $400,000 at 6.5 % APR twice, and you mi...
!Cover image for Why AI Agents Need a Trust Layer And How We Built Onehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=au...
Scientific research reveals that common Claude Code prompting practices—such as elaborate personas and multi‑agent teams—are measurably detrimental to performan...
WHAT — Definition of a RAG Pipeline Retrieval‑Augmented Generation RAG is an architecture where an LLM does not rely only on its internal parameters. Instead, t...
Claude Code Hooks: How to Intercept Every Tool Call Before It Runs !brian austinhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,f...
Markdown cleaned and formatted markdown !Cover image for Como Evitar Exceder os Limites do Código Claude Diariamentehttps://media2.dev.to/dynamic/image/width=10...
🧠 The Power of “Slow” AI Most AI tools give you instant answers, but speed isn’t always ideal. Claude’s Extended Thinking mode slows down and works through co...
!Cover image for I wish AI Agents just knew how I work without me explaining - so I made something that quietly observes me, learns and teaches it.https://media...
The Problem Every trending AI project is giving agents more autonomy—running shell commands, browsing the web, calling APIs, moving money, even performing pene...
Improving Claude Code’s One‑Shot Performance Code is incredibly good at converting natural‑language prompts into fully working implementations. For simple quer...
