Blink AI Blog

Practical guides for learning technology

AI-driven coaching, SCORM/xAPI integration, enterprise LMS decisions, and competency growth — content distilled from real customer engagements.

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"We Use AI a Lot" — Compared to What? Three Questions That Measure Whether AI Helped

"We use AI a lot" is a claim about effort volume: it says how much was used, not what came out. The same sentence can describe pushing against capacity and describing an unplanned quarter, so on its own it carries no information. This piece separates the usage metric from the impact metric, shows how framing AI as a coach rather than a production machine changes what you measure, and sets out three questions — Comparison, Decision, Durability — with evidence from METR, McKinsey, PNAS and the QJE, each with its limits stated. It closes with the serious objections and a short FAQ.

August 19, 202612 min readRead article
hız tuzağıöğrenen deneyimieğitim tasarımı

The Speed Trap: AI Made Content Easy, Not Learning Ownership

AI can turn an idea into a working product in hours — but producing a course and owning the learning are two different jobs. Shipping two AI apps back to back surfaced a speed trap that sits at the heart of learning design too. This piece reframes the "user manual" trap, generic soulless content, and the three filters to run before shipping — empathy, legal, first impression — for L&D teams.

July 17, 20269 min readRead article
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L&D on the CFO's Desk: 3 Visible Numbers, 7 Hidden Costs

"94% completion rate" — that number doesn't carry the L&D budget into the next quarter. It measures attendance, not behaviour change. This piece walks through the three financial metrics a CFO reads directly off the P&L and the seven hidden costs that never appear on it — with research from Deloitte, LinkedIn and McKinsey — followed by a 90-day decision matrix and a short FAQ.

June 5, 202612 min readRead article
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