Alvaro Cintas

Stop writing Claude Code skills by hand. This tool writes them from your sessions. It's called autoharness, a self-learning skill layer for Claude Code. It watches the work you already do and turns it into skills. No separate data collection, no replay loop. It runs on its own once a session has done enough work, or you type /learn to save a lesson right away. And it keeps the skill folder clean: → Merges skills that cover the same scenario instead of adding another near-copy → Updates skills while they're being used → Archives the ones that stop getting used → Only touches the skills it wrote. Yours are never modified Why this matters: with the same model, a better harness took CORE-Bench from 42% to 78%. The harness does much of the work, but people still rebuild it by hand for every new model. autoharness bets the skill part can maintain itself. Two commands to install inside Claude Code. Pure Python, no dependencies. Link: https://github.com/tigerless-labs/autoharness 100% open source. MIT.

"I can always tell when it's AI" is officially over 🤯 Tavus just revealed Griffin. 48% of people who video called it thought it was human

OpenAI’s Dots + Higgsfield = Always-On Creative Agent 🤯 I’ve never seen a company launching this fast. A personal assistant who can literally act as: > Scriptwriter > Marketing guy > Video producer > Product strategist …and keep working even if you’re offline!

Robots can now work for hours without a human stepping in 🤯 When they make a mistake, they notice it and try again on their own. We are entering the era of physical agents

CData launches Connect AI Gateway, so your agents finally see how the company works. One control plane for models, MCP tools, live systems, and Portable context layer across every agent and every model

If you pay for ChatGPT Plus or Pro, you can now hire a team of AI agents inside Hyperagent on that plan. Sign in with ChatGPT, approve plan usage, and set a weekly cap for the app. No API key needed. The setup takes just a couple of minutes. #hyperagentpartner

Google Cloud is releasing 31 hands-on episodes on AI agent security this October, and all of them are free to watch with no sign-in. It's called Advent of Agents Season 3. The format is simple: every day answers one question developers and security teams ask before putting an agent in production. Here are four of them: - How do you give every agent its own identity? - How do you stop prompt injection? - How do you sandbox code an agent generates? - How do you build a kill switch for a runaway agent? Each episode is a practitioner video between 5 and 20 minutes, plus code you can run yourself. Every day stands alone. Skip to the problem you have right now and ignore the rest. The first two seasons were about building agents. This one is about controlling them. Link to watch them all: http://adventofagents.com

Most people pick one TTS model and live with its weak spots, usually a name it can't say. @OnepinAI checks every take for pronunciation and naturalness and fixes those names directly. Routing across 30+ models comes on top. This is how it goes 👇

THE AGENT WAR IS ON. Anthropic just launched Claude Duet, and you get Opus 5.5 as a proactive agent 🤯 10 jobs to give it the day you get in: 1. Free stuff finder of open-source drops and free credits. "Every morning, find the best 3 open-source AI releases and free credits from the last 24h.T ry each one and tell me what actually works, what I get, and when it ends." 2. Content repurposer so one piece of content goes for every format. "Take my latest [newsletter/video]. Turn it into an X thread, a LinkedIn post, 3 short-video scripts, and a carousel outline, each written natively for its platform. Show me all of them before anything goes out." 3. Interactive lesson to learn any topic "Build a small interactive web app that teaches [concept] with sliders and live examples. Test it, and send me the link when it works." 4. Prompt pack builder "Write 10 prompts for [use case]. Run every one, rate the results, rewrite the weak ones until they work, and give me the final pack with a sample output for each." 5. Audience insights to find out what your audience wants. "Go through my last 3 months of post analytics and replies. Tell me which topics and formats get the most saves, which questions keep coming up, and 10 posts I should write next." 6. Inbox handler "Go through my inbox. Flag what needs me today, what can wait, and what to ignore. Draft replies in my voice for everything that needs one, and show me each draft before anything is sent." 7. Automation spotter "Twice a week, find the social media posts where people show AI automations that saved them real time. Pick the 5 best, list the tools and the steps, and tell me which ones I could set up myself." 8. Cleanup data "Go through my [CRM or spreadsheets], find duplicates, broken records and missing fields, and fix them. Show me the plan before you change anything." 9. Launch kit "I'm launching [product] on [date]. Write the launch thread, the email sequence, 5 short-video scripts, and the FAQ. Tell me what's still missing and bring me only the decisions." 10. Lead magnet builder "Look at my most-saved content and turn the best topic into a free [checklist, mini-course, or template]. Write it, design it, and draft the sign-up page and welcome email." I love Grok Bot but my main issue is not being able to select Claude Opus 5.5 as my main driver. Now is possible (make sure to join the waitlist). Grok Bot, Muse, and Dots just got a huge challenger.

The past 48h have been crazy in AI. • Anthropic’s IPO • GPT-6.1 Terra • Mythos 5 Malicious Code • Google Genie 4 • Amazon/Google Go After NVIDIA I wanted all in one IG carousel, so I gave a prompt and a template to the new Agent in Gamma 5 (@GammaApp). It researched every story first and designed everything for me.

This is gold for anyone building AI agents. Agents call the model again and again: plan, write code, check, fix, repeat. Every one of those calls is a wait. EAGLE-4 speeds up the model itself instead of changing your app: - A small draft model guesses several words ahead - The big model checks them all in one pass and keeps what's right - The output stays the same as the big model on its own, it just arrives faster EAGLE-4 adjusts how far ahead it guesses based on your hardware and how many requests you're handling. That matters for agents running at scale. In the paper's test with 512 requests at once, it reported 1.70x the throughput of DFlash 2 and 1.99x DSpark (Qwen 3.8 27B, 4x NVIDIA B300). It plugs into SGLang, vLLM and TokenSpeed, and the code is on GitHub so you can benchmark it on your own setup. Save this if you build agents.

Grok Bot is BY FAR the best agent right now. And you can now give it any job on X, which unlocks unlimited workflows. 10 routines you can copy: 1. Launch radar: To find the latest AI launches. "Weekdays at 9am, find AI launches from the last 24h that people are excited about. Only keep ones where someone posted real results from using them. One line each, plus the link." 2. Free stuff alert: Free credits, trials and open-source drops before they run out. "Every morning, find posts from the last 24h announcing free AI credits, free tiers, or open-source releases. Give the link, what you get, and when it ends." 3. Updates to my tools: New features in the apps I already pay for, and what to do with them. "Every Monday, check what [ChatGPT, Claude, Notion…] shipped last week. For each feature, give one concrete way I could use it in my work." 4. Best prompts, tested: The prompts people shared this week, tried on my own work. "Every Friday, find the 3 most-bookmarked AI prompts on X this week. Run each one on [my task] and show me what came back." 5. Learn one thing a day: A daily lesson to keep my knowledge current. "Daily at 7am, find the clearest post from the last 24h on [topic I'm learning]. Teach it in 3 bullets, link it, and connect it to what you taught me yesterday." 6. Real reviews, not ads: What people actually think before I pay. "When I send a tool name, find posts from real users in the last 30 days. Split praise from complaints, skip sponsored posts, and tell me whether to try it." 7. What everyone's talking about: The context behind today's trend, and what it means for my job. "Every evening, pick the top AI topic on X today. Explain what happened, why it matters for [my job], and the one post worth reading." 8. Video idea finder: Topics that are already blowing up on X so I can record a YouTube video on it. "Every Monday and Thursday, find 5 AI topics taking off on X in the last 48h that don't have a popular YouTube video yet. For each, give the link, a video title, and the hook for the first 10 seconds." 9. Replace a paid tool: Find a free or cheaper option for what you're paying for. "Every month, check what I pay for [my tools]. Find free or cheaper alternatives people on X are switching to, and why they switched." 10. Workflow spotter: Find automations people have built, with steps I can copy. "Twice a week, find posts where someone shows an AI workflow that saved them real time. Give the tools, the steps in 3 bullets, and whether I could copy it." Tip: add "If nothing qualifies, don't message me" to any of these so you only hear from it when you need it.