Afternoon all, it great to be apart of the community 😉

I tried setting up OpenClaw myself. Twice. Gave up both times. Docker. Terminal commands. VPS configuration. Port forwarding. SSL. Firewall rules. And THAT is not even the scary part. The scary part is what happens when you DO get it running on your own computer... The AI has full access to your files, emails, bank logins, and saved passwords. No safety rails. No confirmation prompts. No undo button. A Meta researcher had 200+ emails deleted because her AI went rogue. Cisco literally called it "a security nightmare." That is why I stopped trying. Until I found something that deploys a fully secured, fully loaded OpenClaw on cloud servers in 60 seconds. And when it lands? Here is what is already installed and working inside it: Browser Control so it browses real websites and pulls real data for you. Real-Time Web Search so it researches anything on command. Gmail so it reads, sends, and organizes your emails automatically. Google Docs and Sheets so it builds documents and spreadsheets. PDF Creator so it delivers polished proposals and reports. SEO Research so it audits rankings and tears apart competitor strategies. Social Media Monitor so it tracks mentions, trends, and hashtags. Google Calendar so it schedules and manages your appointments. Cron Jobs so any task can run on autopilot daily, weekly, or monthly. Webhooks so it connects to Zapier, Make, and n8n. Voice Agent so you can speak tasks into WhatsApp. Screenshot and OCR so it extracts text from images. File Manager so it creates, moves, and organizes files. Link Tracker so it monitors campaign performance. SuperMemory so it remembers your business, clients, and brand voice forever. 15 skills. All active. All connected. Nothing to configure. Your computer never gets touched. Not once. Comment "OPEN CLAW" and I'll send you the link.

Hello everyone. Last week, we developed an AI model that predicts greyhound race results. This model analyzes and learns from the race results of the past year to predict the likely winner of the next race and calculates the break-even point based on the odds. Developed using AutoGen, this model predicted the leading contenders with 87% accuracy, which is a notable achievement in the betting industry. Are there any of you currently working on similar projects or have any ideas? Modec is currently researching ways to increase the probability of recommending leading contenders to over 93%.

I use ChatGPT to summarize news articles from various newsletters into a format I developed to save me time each day. It tells me I need to copy and paste the articles before it can summarize them for me which also takes time. Is there a way I could automate this process?