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Hello, We’re looking for a reliable partner (must be based in US, UK, CA, AU, DE, or NZ) to work with our team on a part-time basis. We’re offering a monthly salary of USD 1,000 - 2,000, with flexible working hours and long-term collaboration in mind. No development experience required! Our company, Linkcoders (linkcoders.com) is a software development and outsourcing company that works with international clients across various industries. We focus on building high-quality, scalable software solutions and value clear communication and consistent delivery. This role would involve working closely with our existing team, contributing to ongoing projects, and collaborating remotely. If this sounds interesting to you, I’d be happy to share more details and discuss how we could work together. Looking forward to hearing from you. Best regards, Darrow

how are you structuring your AI coding setup? (sharing mine, want to compare notes) been deep in the weeds optimizing my coding stack lately and want to see how you guys are actually running yours. here's where I'm at: what I pay for - Ollama - ChatGPT / Codex - Claude Code ($100 plan) how I split it - manual coding sessions → Claude Code - my orchestration layer (I call it Hermes) → runs on Codex with an Ollama fallback the issue: I cap out on the $100 Claude plan fast. so lately I've been running fcc-claude (free-claude-code) — it keeps the Claude Code terminal workflow but lets you point it at whatever API you want. feels like working in Opus, but the model underneath is swappable. I rotate the backend between: - DeepSeek - MiniMax M3 - and lately Qwen3:30b fully local right now I'm routing local Qwen through Ollama into fcc-claude, so I'm basically running the Claude Code experience on my own hardware for free. for the workflow layer I lean on Superpowers + a few MCP connections, and that's pretty much it. so what I'm trying to figure out: - how are you structuring sessions — one main agent, or orchestration with subagents? - what's your model routing look like? mixing local + API like this, or all-in on one provider? - what are you running for the "framework" layer — superpowers, custom skills, raw prompts? - and real talk: what am I missing? where am I leaving gains on the table? drop your setup below, even a rough sketch. trying to make sure I'm actually maxing this out and not just stacking tools for the sake of it.

I'm as excited as you. I will be working hard over the next weeks to build out this community. I will unlock access to my Open Claw Builder -Custom GPT to members that reach level 2 Who will be the first to post?

Keith, you mentioned that one of the biggest challenges with AI agents is getting enough domain knowledge to properly ground them. I'm curious how you're approaching that today. Are you mainly solving it by working closely with design partners and extracting workflows directly from business owners, or have you found other methods that work well? Also, you've been experimenting with alternatives to GHL and combining CRM capabilities with agentic workflows through Hermes. How are you thinking about the split between CRM automation and AI agents going forward? Would love to hear your thoughts since I think a lot of builders here are running into the same challenges.