I Spent $50 on OpenClaw in 3 Hours — Here's What Happened

Author: The Codeholic - Bewertung: 3x - Views:26

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I spent 3 weeks testing OpenClaw with different AI models and setups. Here's what I actually learned - the costs, the models, what works, and what doesn't.



⏱️ TIMESTAMPS:

0:00 - Intro: My 3-Week OpenClaw Journey

1:05 - Lesson 1: The Real Costs ($50 in 3 Hours)

2:54 - Model Comparison (Gemini, GPT, Claude)

3:34 - Lesson 2: Why Model Quality Matters

4:33 - Where to Run OpenClaw

5:02 - Hostinger Sponsor (VPS Setup)

6:25 - Lesson 3: Voice Messages Game-Changer

7:48 - Lesson 4: Organizing Context with Groups

9:20 - Lesson 5: Video Editing Automation

11:03 - Final Tips & Recommendations



💡 KEY TAKEAWAYS:

- Started with Gemini on VirtualBox (Windows PC)

- Tested Opus 4.5/4.6, Sonnet, GPT-4o Mini, GPT-5.1, GPT-5.2

- Opus 4.5: $50 lasted 4 hours (2 agents working)

- GPT-4o Mini: Poor experience, not recommended

- Start with BEST models to see full potential

- Use separate Telegram groups for different contexts

- Give specific technical instructions (FFmpeg, Whisper)



🎯 MY SETUP:

Primary Agent: Tony (after Tony Stark)

Video Editor Agent: Jimmy (after MrBeast)

Platform: Telegram (voice messages with Whisper)

Total spent testing: $150+



Want a dedicated video on which models to use for which tasks? Comment below! 👇



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💼 ABOUT ME:

I'm Zura - 14 years of coding and engineering experience. I share real-world tutorials and insights on development, AI tools, and engineering workflows.



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