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My OpenClaw Setup Journey — Real Numbers, Real Talk It took me 3 full days to set up OpenClaw for the first time on a Hostinger VPS (not local). Budget about 18 hours total: 9 hours of prep plus two installation phases. The prep alone was me sitting down and reading all 50 pages of the Bootstrap file (printed out), which Claude Opus 4.6 had prepared. From there, I gave Opus my OKRs (Objectives and Key Results), named the OpenClaw instance, copied the links to the OpenClaw docs (Soul, Agents, Bootstrap), and Opus created everything from there. The Stack: Claude Opus 4.6 as the main orchestrator, ChatGPT Mini 5.4 as the sub-agent for coding tasks. I also have Claude Code installed on the VPS with a separate OAuth account plus Python 3 — this is critical because when you inevitably hit system errors (I counted roughly 75), you can paste the error into Claude Code and it tells you the exact CLI command to fix it. I'm not a coder and don't know codex, but Claude Code turns every problem into a self-correcting workflow. The Files: 44 total, including memory governance, policy docs, and SECURITY.MD — all developed through Claude Code. The memory system is what I call a "University Library" setup with optimized cache retention and context pruning, so the system never forgets anything. I use Telegram as the interface for now. The Cost Reality: My regular Claude account is $100/month. The Anthropic Platform API ran me about $250 for the setup — and that includes generating 72 images at 1080x1350 resolution related to my eBook niche using Nanobana 2. It charges roughly 6 cents per chat or almost 5 cents per sentence. It's like talking to a Japanese hostess at $2 per minute — very expensive. The system automated the entire image generation pipeline using my ViralPDFHook (49 hooks) as the knowledge base with a ChatGPT system prompt, and yes, it completed the task and produced all 72 images automatically. However, the quality isn't satisfactory yet — automated generation through the pipeline produces noticeably different results compared to manually generating with a system prompt. Each API refresh round costs about $3 off the balance, so the costs add up fast.

My OpenClaw Setup Journey — Real Numbers, Real Talk It took me 3 full days to set up OpenClaw for the first time on a Hostinger VPS (not local). Budget about 18 hours total: 9 hours of prep plus two installation phases. The prep alone was me sitting down and reading all 50 pages of the Bootstrap file (printed out), which Claude Opus 4.6 had prepared. From there, I gave Opus my OKRs (Objectives and Key Results), named the OpenClaw instance, copied the links to the OpenClaw docs (Soul, Agents, Bootstrap), and Opus created everything from there. The Stack: Claude Opus 4.6 as the main orchestrator, ChatGPT Mini 5.4 as the sub-agent for coding tasks. I also have Claude Code installed on the VPS with a separate OAuth account plus Python 3 — this is critical because when you inevitably hit system errors (I counted roughly 75), you can paste the error into Claude Code and it tells you the exact CLI command to fix it. I'm not a coder and don't know codex, but Claude Code turns every problem into a self-correcting workflow. The Files: 44 total, including memory governance, policy docs, and SECURITY.MD — all developed through Claude Code. The memory system is what I call a "University Library" setup with optimized cache retention and context pruning, so the system never forgets anything. I use Telegram as the interface for now. The Cost Reality: My regular Claude account is $100/month. The Anthropic Platform API ran me about $200 for the setup — and that includes generating 72 images at 1080x1350 resolution related to my eBook niche using Nanobana 2. It charges roughly 6 cents per chat or almost 5 cents per sentence. It's like talking to a Japanese hostess at $2 per minute — very expensive. The system automated the entire image generation pipeline using my ViralPDFHook (49 hooks) as the knowledge base with a ChatGPT system prompt, and yes, it completed the task and produced all 72 images automatically. (not at once but via Telegram chat). For example, give me Hook# 7. then it produced the relevant content. via Nanobanana 2 api. With the viral hook #7. I don't have to input system prompt to ChatGPT then copy to Nanaobana 2 then wait 20 sec for image then resize the 15 mega byte image then download.