Kuch (vibecoding arc)

and vote in x https://x.com/thekuchh/status/2086391218297352218

what do you usually use ai for?

before i call anything an "agent" it has to clear 5 checks: 1. equipment: real tools, with descriptions and skills that tell it how to use them 2. a loop: it can act, observe, and repeat without me in the middle 3. access: read-only or read/write, decided on purpose, not by accident 4. context: it lives in the file system, not the chat window 5. a stuck path: something actually happens when the loop breaks miss one and it's not an agent, it's a chatbot with extra steps and go to post and like + bookmark pls https://x.com/thekuchh/status/2086015424005550235

there is a Tier 1 agency, kottolle, currently actively recruiting creators 🔗 https://creator.doomers.ai/join?ref=THEKUC813 1. sign up 2. enter your bids for posts 3. apply for campaigns 4. post 5. receive payment p.s. currently 4 companies are expected for August

if i was to help you with one specific problem, which solution sounds the most suitable to you?

FULL CONFIGURATION AND DETAILED SETUP: HOW TO SET UP OPENCLAW FOR $0 (INSTEAD OF $100–$200): LAYER 1: LOCAL MODEL (FREE, ALWAYS ON) > runs on your machine via ollama > no api, no limits, zero costs > handles reading, summaries, basic coding > covers ~70% of real usage install Ollama curl -fsSL https://ollama.com/install.sh | sh pull model # best option ollama pull qwen3.5:27b # mid hardware ollama pull qwen3.5:35b-a3b # laptops ollama pull qwen3.5:9b connect to OpenClaw openclaw onboard select Ollama or manual: export OLLAMA_API_KEY="ollama-local" critical config (don’t skip) use: http://localhost:11434 NOT: http://localhost:11434/v1 set: { "api": "ollama", "reasoning": false } otherwise: tool calling breaks agent outputs garbage JSON debugging hell LAYER 2: FREE CLOUD MODELS (BACKUP) > when the local model struggles > use free tiers like openrouter or gemini > surprisingly strong for fallback cases OpenRouter (free) { "env": { "OPENROUTER_API_KEY": "sk-or-..." }, "agents": { "default": { "model": { "primary": "openrouter/nvidia/nemotron-ultra-253b:free" } } } } or auto-select: "primary": "openrouter/openrouter/free" Gemini (free + fast) Google provides: ~15 requests/min fast responses enough for daily usage setup: openclaw onboard → select Google Groq same setup (API key) extremely fast great for simple tasks LAYER 3: PAID MODEL (LAST RESORT) > this is your escalation layer > use sonnet only when accuracy actually matters > for me, this happens ~5 times a week FINAL HYBRID CONFIG (RECOMMENDED) { "agents": { "defaults": { "model": { "primary": "ollama/qwen3.5:27b", "fallbacks": [ "openrouter/nvidia/nemotron-ultra-253b:free", "anthropic/claude-sonnet-4-6" ] } } } } thanks to this setting, i spent $2.40 in total last month if you're not aware, check out my tweet on X: https://x.com/thekuchh/status/2038974355624145214

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