Buy vs Build vs Open Source
Make the buy/build/open-source decision for AI rigorously. Learn the decision framework (capability availability, switching cost, control needs, regulatory exposure, time-to-value, run-cost), total-cost-of-ownership for all three paths (including hidden costs like evaluation, monitoring, integration), the risk-adjusted comparison, and when each option wins. Learn how the rise of capable open-weight models has shifted the decision and how to keep optionality with a buy decision.
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Work through these 6 lessons in order, or jump to whichever is most relevant to your matter.
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