I built an AI agent that monitors my entire IT infrastructure and fixes problems before I even know they exist. Here's what's wild about this: Most monitoring tools just scream at you when something breaks. Terry actually investigates the problem, figures out what's wrong, and asks permission to fix it. All through Telegram. Right now it's watching: - Website uptime - Network bandwidth hogs - Virtual machine status - Media server activity - VoIP phone systems - Security cameras When my web server went down at 2 AM last week, I woke up to a message that said "Docker container crashed. I restarted it. Everything's back online." Not an alert. A solution. The permission system is the key. Read-only commands run automatically. Anything that could break stuff waits for approval. So I get intelligent diagnostics without the risk of an AI going rogue on production systems. Built this on n8n with OpenAI powering the decision-making. Total cost is about two bucks a day for 24/7 monitoring and intelligent incident response. The real insight here: This pattern works for way more than IT monitoring. Customer support systems that investigate issues before escalating. Financial processes that trace discrepancies automatically. Quality control that correlates defects with production variables. Supply chain monitoring that explores alternatives when delays happen. Anywhere you have monitoring that triggers human investigation, you can replace it with an AI agent that investigates first and only involves humans for decisions. The frameworks exist. The AI is capable. The cost is negligible. What's missing is just reimagining what monitoring can be when it's actually intelligent. Anyone else building agentic systems for infrastructure or business process monitoring? Would love to compare notes on how you're handling the autonomy vs. safety tradeoff.

Hey AIS fam, Good news and bad news. The good news, our community just hit #1 in the Tech category and #2 overall on Skool out of more than 175,000 communities! That’s incredible and a huge credit to all of you. The bad news is that with the growth, we’re seeing more spam, self-promotion, and discussions that aren't focused on AI or automation. Please help us keep this space clean and valuable by reporting any spam or self-promotion you see. Our admin team will take care of it quickly. This community is growing because of you, your engagement, questions, and support for one another. Let’s keep building a safe, focused space to learn and grow together. Cheers, Nate

It outperforms GPT-4o across key benchmarks, including: - Coding: 54.6% on SWE-bench Verified (vs 33.2% for GPT-4o) - Instruction Following: 38.3% on Multi Challenge (vs 27.8%) - Long Context: Handles up to 1 million tokens with improved retrieval and reasoning There are three versions now available: - GPT-4.1: Full version with best performance - GPT-4.1 mini: Matches or exceeds GPT-4o with 83% lower cost and lower latency - GPT-4.1 nano: Fastest and lowest cost, ideal for classification and autocomplete tasks Key improvements: - Better accuracy in long document analysis and multi-step reasoning - More reliable instruction following and formatting - Reduced extraneous edits in code generation - Enhanced ability to build functional AI agents - Long context available at no additional cost - Prompt caching discount increased to 75% Cost (per 1M tokens): - GPT-4.1 – $2 input / $8 output (blended: ~$1.84) - GPT-4.1 mini – $0.40 input / $1.60 output (blended: ~$0.42) - GPT-4.1 nano – $0.10 input / $0.40 output (blended: ~$0.12) GPT-4.1 is only available via API at the moment. (GPT-4.5 will be gone on July 14, 2025)