Google just dropped a free 8-minute lesson on building your first AI agent.
This is the clearest explanation of AI agents and loops you'll find anywhere.
People are paying $500 for courses that teach less than this.
Watch it, then read the step by step guide on building loops for your agents below.
🚨 BREAKING: I asked Claude to improve my LinkedIn profile.
It didn’t just improve it. It made it a recruiter magnet.
Here are the 7 exact prompts I used:
stop telling Claude Code/Codex "do this".
stop telling Claude Code/Codex "write code".
stop telling Claude Code/Codex "fix this bug".
you're using a 𝘀𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 like it's a 𝗷𝘂𝗻𝗶𝗼𝗿 𝗶𝗻𝘁𝗲𝗿𝗻.
here are 8 prompts and goals you can copy-paste directly.
If I got laid off tomorrow & had to replace my salary asap, here’s exactly what I’d do:
1. Go to Instagram and start a fresh account. Use a spare email. No one has to know.
🚨 BREAKING: Claude can now perform stock market research like a top-tier consulting firm — for free.
Here are 10 Claude prompts that replace $100K/year stock analysts.
(Save this for later) 📌
The person who built Claude Code just taught prompting in 28 minutes, free.
What he covers in the first 10 minutes beats $300 courses. Works for developers and beginners alike.
Tenía 29 kg de sobrepeso, una barriga enorme y quería alcanzar un 13 % de grasa corporal en 2026. Lo logré con estas 25 reglas:
Regla 1. DEJA DE CORRER.
10 GitHub repos so good they shouldn't be free.
1. AutoHedge
An autonomous hedge fund built in Python with four AI agents: a director generates investment theses, a quant validates them, a risk manager decides position size, and an execution agent places orders. Operates live on Solana. With 'pip install -U autohedge', you can start trading immediately.
repo → https://t.co/q22EzesLoD
2. Vibe-Trading
A trading system using a Directed Acyclic Graph (DAG) model, featuring 64 finance skills and 29 preset specialist agent swarms. Includes analysis methods like Ichimoku, Elliott Wave, SMC, Black-Scholes, full Greeks, and risk parity. Its crypto desk provides liquidation heatmaps and token unlock tracking. You can observe agents debating strategies in real time.
repo → https://t.co/LZ5CYGMC1W
3. Fincept Terminal
A Bloomberg Terminal replacement that runs on your laptop. CFA levels 1, 2, and 3 analytics. 20+ investor AI agents (Buffett, Dalio, Soros). 100+ data connectors, including Polygon, World Bank, and IMF. Bloomberg charges $24,000 a year. This is free.
repo → https://t.co/dMM1WZxrw9
4. LibreChat
Every model ChatGPT runs, plus Claude, Gemini, DeepSeek, and 20 more. Self-hosted. Native MCP support. You own the data, the history, the infrastructure. OpenAI charges $20/month to use their wrapper. This costs nothing to use your own.
repo → https://t.co/457utdZUIF
5. Open Higgsfield AI
A self-hosted cinema studio with 200+ AI models. Flux, Midjourney, Sora, Kling, Veo, GPT-4o, SDXL all in one interface. Text to image. Image to video. Cinema mode with pro camera controls. No subscription. Your data stays local.
repo → https://t.co/WHCzBSFBW4
6. Open-LLM-VTuber
A Live2D AI companion that runs offline, sees your screen, hears your voice, and never forgets. Inner thoughts are shown as a separate text layer, so you watch the reasoning happen before words come out. Pet mode floats it on your desktop. Swap the LLM in one config line.
repo → https://t.co/5XVKUPr35X
7. Claude Ads
A free Claude Code skill that runs 190 audit checks across Google, Meta, YouTube, LinkedIn, TikTok, and Microsoft Ads. 6 parallel subagents firing at once. Consolidates into a single Ads Health Score ranked by revenue impact. Agencies charge $4,000 a month for this.
repo → https://t.co/AJRfpSB7B6
8. Agentic Inbox
Cloudflare just open-sourced an email client where an AI agent reads your inbox and drafts your replies. Runs entirely on Cloudflare Workers. Each mailbox lives in its own Durable Object. Your email never leaves your Cloudflare account. One click deploys it.
repo → https://t.co/QEEMtzoliV
9. Camofox Browser
An open source headless browser that makes AI agents invisible to bot detection. Spoofs navigator properties, WebGL, AudioContext, and WebRTC at the C++ level. The browser does not look modified because it genuinely is not. Accessibility tree output drops token cost by 90%.
repo → https://t.co/95d0V3o7vO
10. Hyperframes
HeyGen open-sourced a video framework that does everything Remotion does without React, without JSX, without teaching your AI agent a new format. The agent writes HTML. The framework renders MP4. GSAP, Lottie, and Three.js all work. Same HTML always produces the same file.
repo → https://t.co/ekquvYvTNC
These are not toys. Each one replaces a paid product you're still being charged for.
Pick one. Install it. Plug it into your workflow.
100% free. 100% open source.
El nutricionista de Novak Djokovic reveló parte de su sistema alimenticio:
En su dieta evita el gluten, los lácteos y el azúcar refinado, es decir, reduce al máximo todo lo que le inflama o le roba energía.
Y lo sorprendente es que Djokovic cada mañana...
🚨 CEO Anthropic Dario Amodei właśnie dostał nokaut na oczach całego świata.
Chiński founder Moonshot AI Yang Zhilin wziął i wrzucił za darmo całą rewolucyjną architekturę Kimi Agent Swarm.
Rój ponad 100 agentów działających równolegle. 1500 wywołań narzędzi jednocześnie.
Zadania, które Claude 4.5 i GPT-5.2 robią w godzinę, Kimi załatwia w 15 minut.
40-minutowy masterclass na NVIDIA GTC, w którym Yang tłumaczy wszystko krok po kroku:
• Orchestrator + parallel reinforcement learning
• MoE na bilionach parametrów
• Kimi Linear i 3D-synergia kontekstu
Efekt?
Kimi K2.5 miażdży Zachód w kluczowych benchmarkach agentycznych (HLE-Full, MathVista, OCRBench, multimodal) i robi to 4–5× taniej.
If you're using Codex, you might not know about this repo `openai/skills`
if codex is open right now just ask codex `take a look at skills installer, what are some skills I should install` and it'll know how to scan this repo for skills and install the ones you need
These are literally the kind of LLM interview questions most candidates wish they had seen earlier.
A curated list of 50 LLM interview questions - shared by Hao Hoang.
What's covered:
Fundamentals:
→ Tokenization and why it matters
→ Attention mechanisms in transformers
→ Context windows and their tradeoffs
→ Embeddings and initialization
→ Positional encodings
Fine-tuning & Efficiency:
→ LoRA vs QLoRA
→ PEFT to prevent catastrophic forgetting
→ Model distillation
→ Adaptive Softmax for large vocabularies
Generation & Decoding:
→ Beam search vs greedy decoding
→ Temperature, top-k, top-p sampling
→ Autoregressive vs masked models
Advanced Concepts:
→ RAG (Retrieval-Augmented Generation)
→ Chain-of-Thought prompting
→ Mixture of Experts (MoE)
→ Knowledge graph integration
→ Zero-shot and few-shot learning
Math & Theory:
→ Softmax in attention
→ Cross-entropy loss
→ KL divergence
→ Gradient computation for embeddings
→ Vanishing gradient solutions in transformers
You don't need to follow me (@techNmak) and comment "LLM". I will put the link in the comments.