A business doesn’t need 20 AI tools. It needs a few automations that remove repetitive work and improve how leads and customers are handled. I’ve found AI + CRM + automation to be far more useful than adding another random AI tool to the stack. What’s one repetitive task you’d love to eliminate?

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.