I Spent $3,000 and 100 Hours Building a 24-Step AI System So You Can Do It in 2 Hours for $300

19 Feb 2026 · 3 min
2:59

In this video, Alexander Lorenzo critiques manual crypto research as costly and inefficient, then unveils a self‑running 24‑step AI pipeline that automatically generates institutional‑grade crypto reports. The system conducts deep research, three rounds of fact‑checking, a skeptical red‑team review, source weighting, executive summarization, and outputs branded PDFs and audio scripts. Lorenzo spent over $3,000 and 100 hours building the original setup (using $2,300 in AI token costs and a $700 Mac Mini) but now demonstrates how, by switching to the cheaper Sonnet 4.6 model and streamlining hardware, the entire pipeline can be replicated in about two hours for roughly $300. He shares the full toolset (including OpenClaw) and promotes a live workshop on February 20th to walk participants through the process step‑by‑step.

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