I'm getting fairly excited about "agentic" solutions to the point that I even went out of my way to build "AgentOfCode" (https://github.com/JasonSteving99/agent-of-code) to automate solving Advent of Code puzzles by iteratively debugging executions of generated unit tests (intentionally not competing on the global leaderboard).
And even for this, there's actually only a SINGLE place in the whole "agent" where the models themselves actually make a "decision" on what step to take next, and that's simply deciding whether to refactor the generated unit tests or the generated solution based on the given error message from a prior failure.
Agentic to me means that it acts somewhat under its own authority rather than a single call to an LLM. It has a small degree of agency.
‘Intelligent’ is exactly as precise as ‘funny’ or ‘interesting’. It’s a label for a cluster of observations of another agent’s behavior. It entails almost nothing about how those behaviors are achieved.
This is of course only an opinion, but it’s my professional opinion after thirty five years in the AI business.
Intelligence is a characteristic.
I don't think these are necessary buzzwords if the product really does what they imply.
We use new words so often that we take it for granted. You've passively picked up dozens of new words over the last 5 or 10 years without questioning them.
agentic == not people.
Quite sensible, really.