Building AI Assistants and Agents Without Coding training in Lausanne · canton of VaudDesigning an AI assistant: what level of autonomy should you aim for?
Should an AI agent propose, decide or execute? The question is not new: research on levels of automation offers a proven decision grid.
A scale of delegation
Raja Parasuraman, Thomas Sheridan and Christopher Wickens (2000, IEEE Transactions on Systems, Man, and Cybernetics) proposed a ten-level scale, from minimal assistance to full autonomy, applied to four functions: acquiring information, analysing it, deciding, acting. Parasuraman, Sheridan & Wickens, 2000
The right level depends on consequences
The authors stress that the relevant level varies with task criticality: the costlier or more irreversible an error, the more decision and action must remain under direct human control. Full automation is justified mainly on reversible, well-bounded tasks.
What this changes for a no-code agent
An assistant configured by a non-technical employee inherits the same trade-offs. Scoping an agent's mission means explicitly choosing its level on each function: search and summarise, yes; validate and send, not necessarily. (our executive and employee training programmes)
The limit of enthusiastic prototypes
A prototype that 'works' in a demo has not yet met edge cases. Without a test phase on hard examples — missing information, ambiguous instructions — deployment turns users into involuntary testers.
A practical check in {CITY}
In a team entre hautes écoles, hôpitaux universitaires et sièges internationaux, describe the first agent on a one-page brief: mission, authorised sources, autonomy level per function, the person who validates before anything is sent. Then test on ten real cases, three of them deliberately hard, before any go-live. A AI training in Lausanne structures this no-code scoping. To go further: explore the Building AI Assistants and Agents Without Coding training in Lausanne in the canton of Vaud, or browse our executive and employee training programmes in Switzerland. AI training in the canton of Vaud.
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