Pablo Hernandez Leal

CTO at MultiplAI

I build AI systems for regulated financial workflows and write about applied AI, decision-making, experimentation, and the problems that appear when technology meets the real world.

What I work on

AI systems in regulated environments

Building for accuracy, evidence, traceability, and human review.

From research to production

Turning experimental findings into engineering decisions under operational constraints.

Technical decisions and teams

Working across engineering, product, and domain expertise when requirements or evidence are incomplete.

Engineering guides

Work through an engineering decision

Explore examples of hiring and technical decisions. See what the evidence supports, what remains uncertain, and how that changes the recommendation.

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Selected writing

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Sometimes You Need Kirk. Sometimes You Need Spock.Sep 2026When should a decision preserve options, and when is it time to commit? The Executive Summary Is Not a SummaryOct 2026An abstract says what the work found. An executive summary explains what it means for the decision. The Metric Can Be Right and the Decision Can Still Be WrongSep 2026Why a correct metric can still support the wrong decision when it measures only part of the system.

Interactive experiments

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Small models you can change to see how a decision unfolds.

Interactive experiment

Two Clocks

Ask questions and consider an answer while time remains.

Explore a job offer while information and available options change. Choose what to ask and when to answer.

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The Metric Can Be Right

Model A has 99.2% accuracy; Model B has 99.0%. An initial choice starts the comparison.

Make an initial model choice, then revisit it as errors, costs, and review work become visible.

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Decision tools

Find a question for your decision

Choose a reusable question to examine evidence, uncertainty, timing, or trade-offs in a decision you’re facing.

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