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Written by Max Zeshut
Founder at Agentmelt
The process of training AI models to behave in accordance with human intentions, values, and specified objectives. Aligned models follow instructions accurately, refuse harmful requests, acknowledge uncertainty, and avoid deceptive or manipulative behavior. Alignment techniques include RLHF, Constitutional AI, and instruction tuning. For AI agents, alignment is especially critical because agents take real-world actions—a misaligned agent that misinterprets objectives can send wrong emails, delete data, or make unauthorized purchases.
A well-aligned sales agent told to 'maximize meetings booked' won't send misleading emails or spam prospects—it understands that the underlying intent is to generate genuine sales opportunities, not inflate vanity metrics through deceptive tactics.