I'm diving deep into browser automation "agents" that can handle repetitive manual tasks we all waste hours on. Looking to connect with others experimenting in this space. Currently exploring agents for: - Cross-platform ad campaign management (Meta Ads, LinkedIn Campaign Manager, TikTok Ads, Google Ads) - Sales prospecting workflows - enriching leads, personalizing outreach, CRM data entry - Content distribution - posting across multiple platforms, scheduling, engagement monitoring - VA-style admin tasks - calendar management, email triage, expense reports, data entry - E-commerce operations - inventory updates, order processing, competitor price monitoring - Recruiting workflows - candidate sourcing, initial screening, interview scheduling The dream: Agents that don't just follow scripts but actually understand context, handle unexpected UI changes, and make reasonable decisions when things don't go as planned. What I'm curious about: - What tasks have you successfully automated that actually stayed reliable? - How are you handling auth/security, especially for client accounts? - Anyone building internal tools vs using existing platforms? - What's been surprisingly hard to automate? Drop a comment or DM if you're building in this space. Happy to share learnings - we're all figuring this out together. 🚀 #Automation #AI #BrowserAutomation #NoCode #Productivity #AIAgents

I was struggling with jupyter notebooks, chatbot conversations and data not behaving like I wanted to so I opened a query with "Hello chatbot, my old friend. I've come to talk to you again" and it replied something that showed it got the reference. Long story short, here you have a slightly personal adaptation of a classic. And an image to illustrate it. “The Sound of Python” (to the tune of Simon & Garfunkel’s classic) Hello chatbot, my old friend, I've come to query you again. Because my dataset, gently sprawling, Left me broken, lost, and crawling. And the errors that were printed on my screen, So obscene, Still haunt the bounds of Python. In restless loops I code alone, Through endless cells and monochrome. 'Neath the glow of dashboard blinking, I wrestled data without thinking. When my plots were formed by lines like tangled wire, Grim and dire, They screamed the sound of Python. And in the graph-light I saw, Ten thousand towns, perhaps more. Towns collecting without sharing, Regions clustering without caring. Plots that look like ink spills bleeding on my screen, Quite routine, Within the bounds of Python. “Fool,” said I, “you do not know, Rural, urban, waste will show.” “Read my plots so I might teach you, AI’s whispers might just reach you. ”But my charts like paper burned and fell in vain, Still remain, To mock the sound of Python. And the people bowed and prayed, To the spreadsheets they had made. And the chart flashed out its warning, In the pixels it was forming. And the code said, “The answers lie within your frame, All the same, Just trust the sound of Python.”

Hey everyone! Has anyone here contributed to open source AI models or repos (e.g. Hugging Face, LangChain, etc.)? I'd love to get involved but not sure where to start. Any tips on how to approach it, what types of contributions are usually helpful, or how to find beginner-friendly issues? Would really appreciate any guidance or recommendations!

|| Personal Opinion || My favourite right now - > Windsurf + Claude Code with https://github.com/SuperClaude-Org/SuperClaude_Framework and the hooks /sc:explain, /sc:troubleshoot, /sc:implement etc ... if you are into Vibe coding this may be something worth looking into. The downside of the Claude Code is the cost of the API, but there are a couple work arounds this with using other language models if you choose. What are tools are you using and why?

Hey guys, I am to move to level 3. Please help me to unlock the contents. I will definitely help the community!