Learning-AI Build-vs-Buy Worksheet

A one-page gate to run for each AI feature before committing: name the feature and the data it touches, weigh the four drivers (usage volume, accuracy bar, data sensitivity, lock-in), convert every option to cost per learner per month, confirm the GDPR data processing agreement and no-training clause, account for EU AI Act high-risk duties, and wire a thin abstraction layer plus xAPI tracking.

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Book cover: Video Encoding, Volume 1 of the Fora Soft Video Engineering HandbookBook cover: AI for Video, Volume 7 of the Fora Soft Video Engineering HandbookBook cover: Video Streaming, Volume 3 of the Fora Soft Video Engineering Handbook

The handbook · 7 volumes

Fora Soft Video Engineering Handbook

This worksheet gates each learning-AI feature on usage volume, accuracy bar, data sensitivity and lock-in, then converts every option to cost per learner per month. We wrote seven volumes covering the whole video stack; start with Volume 7 for AI cost, serving and the EU AI Act, then Volume 3 for delivery, with Volume 1 for encoding. Written by Nikolay Sapunov, CEO at Fora Soft.

Browse the handbook on Amazon →7 volumes · 9,000+ pages · Kindle & paperback

Weighing whether to build learning-AI features in-house or buy them from a vendor?

Send us your AI feature list and learner volume, and we will compare build and buy per feature as cost per learner per month, with the compliance duties. 250+ video products shipped since 2005.

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