Agentic systems chain multiple steps: plan a task, call a search API, write a script, execute it, and summarize results. IDE agents and automation platforms productize this pattern for non-experts.
Reliability is still the bottleneck. Agents hallucinate file paths, misread tool output, and burn tokens on retries. Human checkpoints and clear permissions reduce risk.
For education products, agents can tutor step-by-step — but guardrails matter so learners still build mental models instead of outsourcing every problem.
Expect standardization around tool schemas (function calling), observability logs, and per-task budgets so agent runs do not become surprise cloud bills.