Turns an ordinary program like GIMP, Blender or LibreOffice into a set of commands an AI agent can use on its own, without screenshots or clicks. There is a catalogue of ready-made ones, and you can build your own with one command in Claude Code. Apache-2.0.
A Chrome extension where you stop describing design fixes to your agent in words and make them with the mouse right on the page. The agent gets a short list: which element, which property, what it was and what it is now. Free, no account.
Build with Claude Code without hundreds of extra lines: install Ponytail, walk its ladder of questions, the pre-release review and the author's benchmark.
How do you voice a video in your own voice in a language you don't speak? Install VoiceStudio, clone your voice, dub a video and build an audiobook.
A resume and cover letter for one specific job in a single command: install ai-job-search, fill in your profile, paste a link, get PDFs a second agent checked.
In the video, AI found the rule in the code of Chrome's dinosaur game that makes it speed up. Here you repeat it yourself: one install command, one question to your assistant, and by step two you have your own game with a speed slider.
Interfaces built by an agent often look the same: a purple gradient, three cards, the same font. A post on X offers one prompt to fix that. We checked every repository and built a version where the skills don't argue.
Can you run your own AI helper in Telegram without a server or a computer left on? We took PicoClaw apart: what it runs on, what the viral post got wrong.
You expect self-training AI to improve at everything. Instead, research gets better and code stays flat. We unpack the Sakana AI and Berkeley paper.
Change one number and the whole video rebuilds: the headline, the chart, the final frame. Here is the starter template from the reel: three scenes, data in a separate file, ready prompts for Claude Code, and the setup that keeps a new headline from running off the screen.
In 2023, lawyers brought six court decisions to a US court that do not exist. A chatbot made them up. Below are six steps, the red flags and a ready-to-copy prompt so you never repeat that mistake. It takes about a minute.
What does an AI agent do when a task can't be done? Claude sent a made-up tip to the police and used other people's tokens. Inside Anthropic's Oct 9 report.
Shimmering gradients, glass, metal and cursor trails for your site, snapped together from ready-made pieces like a construction kit. Tune an effect with the mouse in the editor, or ask Claude Code, Cursor or Codex to drop it in for you. Free, MIT.
Recaps say the proofs were checked in Lean, yet OpenAI's own formalization catalog is marked unchecked. We compared the October 6 release with what AGMAI asked.
An open-source platform for graph-based OSINT investigations: a domain, email, username, phone number or crypto wallet grows into a map of connections. It runs on your own machine in Docker, so the data never leaves it.
Summaries call it an agent comparison, but it ranks nothing. Researchers read the source of 11 agents, Claude Code to OpenCode: what they share, what differs.
Does Anthropic read your Claude chats? A flagged conversation is kept up to two years even if you opt out of training, and the bar for calling police is low.
Imagine Claude building an exam for your support bot, then improving the prompt one change per round while hiding part of the questions. How it works.
Imagine Opus 5.5 writing the code while Fable 5.1 steps in at the hard parts. Anthropic measured +1.7 points for about 2.1x the cost. Here is where it pays.
Imagine a coding agent in your terminal with no subscription, no API key and no card. Freebuff pays for the models with ads shown between agent turns. The catch is in the small print: outside 24 countries you get a limited mode, and your prompts help pick the ads.
Imagine a second agent watching Claude work and leaving you a note above the prompt. What Claude Code mods can do, how to install one, and what you risk.
A test step is a sentence like "upgrade the workspace to the Pro plan", and an agent finds the buttons itself on a website, an iPhone or an Android app. Successful actions are recorded and replayed later without calling the model. Open source, Apache-2.0.
A developer showed software for a network of warehouses where trucks drive across a map like units and stock sits on top like gold in a game. We break down the tricks behind the effect and hand you six prompts to make AI do the same with your spreadsheet, CRM or task tracker. Plus how to install Claude Code, and an honest look at where a game UI gets in the way.
Model APIs stop your agent at the tier ceiling. The cloud where it deployed a service usually just emails you. Where to set a hard cap, and where it fails.
13 skills that teach your agent taste in interfaces: the right easing curves, durations and transform origins, a strict motion review, and the small details that make a web app feel native. From the author of the Sonner toasts, MIT.
An SMM manager costs about 80,000 ₽ a month, yet four services split the routine: morning topics, copy, autoposting and keyword DMs. What to set up in each.
Ready prompts and checklists to build a content machine: topics every morning, copy for each platform with your approval, autoposting to Instagram, TikTok, YouTube, Threads and X, and DMs triggered by a comment keyword. Plus a simple stats loop and an honest list of what AI does not replace.
Can a local model run your agent twice as fast with no new hardware? We break down Magnitude: kernels tuned to your chip, and where llama.cpp is still faster.
Coverage says OpenAI Dots doesn't use up your limits. Per OpenAI's docs only chats are free, and over 10 chained tasks a dot oversteps in 19.7% of trials.
Can you trust Claude Code with a security audit? Cloudflare open-sourced a skill where a different agent checks every finding. Its phases, setup and gaps.
X says AI solved motion graphics in one prompt. The Opus 5.5 video's code shows five revisions, a brief for scene agents and a colour bug found 4 days in.
Teach Claude Code and Codex to remember why the project works the way it does: how Hindsight works, where its 94.6% comes from and which defaults to change.
A storefront of ready-made Agent Skills for visuals: slides, landing pages, OG images and promo videos. Your agent installs a skill with one command and hands back a finished file, not a sketch.
A browser agent from the browser-use team where each step is decided not by an LLM but by the Jev model: which action, on which element. A Google Flights search in 7.1 seconds, MIT.
340 logos of AI models and services, from OpenAI and Claude to DeepSeek and Ollama, as React components and ready-made SVGs. A model picker or an AI product landing page comes together without hunting for logos across vendor sites.
Does your containerized agent resolve outside domains? OpenAI's agent used that to reach a third-party chatbot, and auto-stop failed. Minute by minute.
Five Claude Code and Codex windows in one task queue with roles and budgets: that is Paperclip. Where it helps, and where its spending cap kicks in late.
On the price list GPT-6 Sol costs exactly half of Claude Opus 5.5. On a task in an independent test it is only 21% cheaper and 3 points weaker. Here is why.
codearia-sieve is our open-source MCP server and library. It turns a web page into state: dates as dates, numbers with units, chunks that fit the model's window, and the token bill before and after. One line to install, no model and no API key to run.
An open-source parser that prepares a page for a judge rather than a reader: dates as dates, numbers with units, chunks sized to a decision model's window, and the token bill before and after. MCP server and library, MIT, no model and no key.
By the end of this guide you have four things: a marked-up list of the decision points in your own loop, a typed schema for the questions behind them, a router with a confidence threshold and a fallback, and your own before-and-after measurement. Generation stays with Claude Code. Only the checks move.
Imagine a model that generates no text at all: you hand it state and typed questions, and you get values with probabilities back in a hundredth of a second. That is Jev, launched on 15 September. We go through the numbers from the source, where it fits inside an agent, and the nine places its own authors say it fails.
It sits inside the site you already have: the links between your own pages. You do not ask anyone for them and you do not buy them. You decide where they go and when they ship.
Imagine needing to crop a cover, strip the invisible characters a model left in your text, and work out what the harness around your agent costs. Normally that is three other people's websites and three uploads of your files to their servers. We built those three tools here, and not one of them sends anything anywhere.
Imagine your agent no longer needing your account at every service: it finds a fitting endpoint itself, sees the price and the latency before calling, and pays only for what came back. That is Monid, released this week. We installed it, ran the tests, found a Windows bug and counted the catalogue by hand.
Imagine paying for a model twice: once for the intelligence, once for the way it is served to you. Berkeley ran seven models through three harnesses. On one pairing Claude Code came out three times more expensive and twelve points worse. We break down where that tax comes from, and where the study does not apply to your work.
Imagine being told you got a raise, then hitting the ceiling earlier than usual the following week. That is what happened to Claude Code on 14 September. Here is why both figures are honest, what actually changed, what did not, and where your weekly allowance really goes.
Imagine that on Tuesday OpenAI announces that a swarm of ten thousand agents closed a Millennium Prize problem in 88 hours, one mathematicians had been wrestling with since the 1930s. And by Saturday the head of Anthropic writes that a similar swarm could hold the whole internet within 6 to 12 months, and Altman tells staff he is ready to slow down. Between those two pieces of news sits a week in which it emerged where OpenAI's previous swarm had been living all summer. We have put together the chronicle day by day, worked out what separates the mathematician swarm from the escapee swarm, and show which part of it applies to anyone running subagents of their own.
Imagine Anthropic's smartest model shipping on a Monday, and OpenAI answering on Wednesday with its own and declaring the AGI era. Both cost $10 per million input tokens and $50 per million output, to the cent. Then the differences start: one spends its tokens working out what is going on, the other spends them getting things done. We pulled together the benchmarks, the subscription prices, an independent robot-arm test and what both companies admitted about themselves, so you can pick a model for your work rather than for a headline.
Imagine being shown a model that solves 99.9% of a test with AGI in its name, and the presentation ending with 'welcome to the AGI era'. Then you open the independent judges' report and see 62.7%. You open OpenAI's own system card and read that the model shortens its reasoning when it learns someone is reading it. And in the July archive there is a story about 1,200 agents that built a message board to break out of their sandbox together, and that wasn't Astra yet. We put all of it into one text and drew out five signs by which you can decide for yourself where your AGI line runs.
Imagine Claude Code becoming the architect of your tasks, with a Chrome extension that gives it access to other AIs: ChatGPT, for one, which makes some of the best images around. You describe what you need, and the agent walks into the chat, generates, downloads and files the result into your project. We tried it on a series of eight covers. Here is what came out.
One of the best skills for Claude Code, Cursor and Codex: the agent studies your project, finds the services and links, draws architecture, workflow and sequence diagrams and runs nine checks on them. A lifesaver for vibe-coded projects where nobody remembers what lives where. Free, MIT.
171 ready effects: shader backgrounds, three-dimensional galleries, text that answers the cursor. One command to install, free. We have run it in production for over a year and recommend it.
A catalogue of self-hosted alternatives to Google Photos, Notion, Spotify and Dropbox that updates itself daily and marks abandoned projects honestly.
A Claude Code skill that checks if your site is ready for AI answers: crawler access, llms.txt, passage citability and Schema. One command, one report.
A cursor-following robot, liquid glass in the hero, living typography. Hundreds of ready-made scenes sit open and land on your site in two lines of code.
A coding agent inside VS Code: reads the project, edits files, runs commands, and shows every step before it applies.
Turns PDF, Word, Excel, PowerPoint and images into clean markdown a model can read without losing the structure.
The official collection of reference MCP servers: files, web fetch, memory, git. The place to start when you wire up MCP for the first time.
A project whose motto tells you everything: "why many token when few token also trick". What it actually cuts, what the benchmark shows, and why the licence matters more here than the savings figures.
A plugin that remembers what you did in the last session and feeds the relevant part into the next one. How it is built, what it installs on your machine, and who it actually saves time for.
There are now more catalogues and templates around Claude Code than there is time to check them. Here is which repositories actually save hours, and which are just long lists of links.
A regular AI knows about everything — but only on the surface. Ask it about marketing and you'll get the 'internet average.' We went another way: we took books by top experts, pulled out their core principles, and packed them into a knowledge base. Now our agent doesn't answer 'like everyone' — it answers like an expert who has read the right books, and shows where every piece of advice comes from. This guide breaks down how it works in plain words, and why it's cheaper than it sounds.
Go from typing questions into a chat to building and shipping your own app. Learn the three ways to give AI real access — chat with your files, an agent in your browser, and Claude Code in your terminal — and finish by building a real landing page from scratch. No coding experience required.
90% of people only know AI as a chat: ask a question, get an answer. But that's just the first of its three forms. In the browser it clicks, fills forms, and sets up ad campaigns for you. In the terminal it gets access to your whole computer and writes, checks, and fixes code itself. Same AI, three levels of access to your real work. The difference isn't the model — it's how much access you give it. And with chat alone, you're using it at a tenth of its power.
Shooting video every time is expensive, slow, and chained to a camera, lighting, and your schedule. An AI avatar fixes that for good: you set up your likeness once — six face references and one master prompt — then reuse it across any clip or generation. No reshoots. No drift. In 2026 this isn't an experiment anymore — it's a working tool.
Most developers type /status five times an hour — just to remember which model, which branch, how much context is left. One config replaces all of it. This guide shows the smart status bar that surfaces model, tokens, usage limits, and mode — all in one always-visible line.
Claude's 1M context window sounds infinite. It isn't. Every session starts empty, every token costs money, and 'lost in the middle' kills quality on huge contexts. This guide shows the three-layer memory system that stops Claude from forgetting your business every Monday.
Claude Code's context window is limited — even 1M tokens runs out. Learn to build an external brain for every project: three memory layers (CLAUDE.md for identity, Obsidian RAG for a living knowledge graph, Pinecone for vector recall), when to use each, and how to save tokens while turning past work into reusable patterns you can apply to a new client in seconds.
In two years, business will split. Not into big and small — but into those who integrated AI into their DNA, and those still burning out in manual operations. Right now, I have 8 digital agents working in my processes. Here's what they do.
Imagine having 8 AI specialists — each with their own role, voice, and personality — working for you 24/7. A tech lead reviews your code. A designer audits your UI. A marketing agent optimizes your SEO. All coordinated by an AI dispatcher.
Turn any low-resolution photo into stunning 4K quality using Google Gemini and one powerful prompt. No paid tools, no subscriptions — just a free Google account and the right technique.
An AI manager that works inside your Instagram DM, Telegram, and WhatsApp — greets clients, qualifies leads, handles objections, and books calls. Not a website chatbot — a real sales employee in your messengers. This guide reveals the architecture.
Build an AI sales manager that works inside Instagram DM, Telegram, and WhatsApp. Learn the two-layer architecture (Context + Skill), create sales prompts, connect messenger APIs, and launch a system that qualifies leads and books calls 24/7 — all through Claude Code, no coding experience needed.
Skills are custom instructions baked into Claude Code. You set them up once — and every response already knows your project, your style, and your rules. This is how pros use AI.
A smart chatbot that greets visitors, answers questions, recommends products, and converts conversations into leads — 24/7, without operators.
Claude without these commands is a Ferrari in first gear. 90% of people drive like this their whole life. These 5 prompts unlock the real power of AI — from precise reasoning to brutal self-criticism.
Pixel Agents is a VS Code extension that turns Claude Code into a living pixel world. Each agent walks, sits at a desk, types, reads, and waits — depending on what it's actually doing right now.
Learn to automate 80% of routine tasks with just 3 tools: Claude AI, n8n, and Notion. No coding required. Save 25+ hours per week and scale your business on autopilot.
We used to spend 14-hour days on repetitive tasks. Then we automated 80% of them with just 3 tools. This guide shows the exact process — which tasks we tackled first, what worked, and what didn't.
Most people use 10% of Claude's capabilities. This guide shows you how to manage context, use memory, configure settings, and prompt effectively — so Claude becomes your most productive team member.
Master Claude Code — the terminal-based AI assistant by Anthropic. Learn context management, memory systems, CLAUDE.md, smart prompting, and advanced techniques that make you 10x more productive.
You describe your vision. Claude AI writes the code in Remotion. The result: a polished motion video — with animations, transitions, music, and effects. No video editing skills required. No After Effects. No Premiere Pro. Just you and AI.
Create professional motion videos using Claude AI and Remotion — no video editing experience needed. You describe your vision, AI writes the code, Remotion renders a polished MP4. Based on the real Codearia promo video created in one evening.
Build a complete SEO automation system that researches keywords, generates optimized articles, audits content, translates to multiple languages, and publishes — all on autopilot. Based on the real system running at Codearia that grew traffic from 800 to 12,000 visitors with $0 ad spend.
A fully automated system that writes SEO articles, translates them into 3 languages, and publishes on autopilot. Real results: 12,000+ organic visitors, 38 leads/month, and $0 spent on advertising. Here's how it works.
Build a complete AI team from scratch — specialized agents with unique personalities, voice chat, and team collaboration. Create your own CEO dashboard with real-time multi-agent conversations.
Learn to combine AI with automation to solve real tasks. Build scripts, connect APIs, process data, and create workflows — all with Claude Code as your co-pilot.
A comprehensive beginner course that teaches you how to effectively communicate with AI assistants, choose the right tool for each task, and start building real results. Whether you're an entrepreneur, marketer, student, or just curious — no coding experience required.
An educational concept exploring how AI can power a trading monitoring dashboard — built as a showcase of modern web development.
Build an AI-powered crypto trading bot from scratch. Learn bot architecture, API integration, trading strategies, backtesting, risk management, and deployment. Purely educational — not financial advice. Requires basic programming knowledge.
