Designing AI Agents That Don't Drift

Agents fail quietly: they call the wrong tool, loop forever, or sound confident while inventing state. Production AI automation needs bounded autonomy — not open-ended chat with side effects. That is how Techbylanz designs agentic systems for real operations teams.

Tools over free text

Expose a small, typed tool surface. Prefer structured outputs and schema validation. If the model cannot express an action as a tool call, it should not invent one in prose.

Hard stop conditions

• Max steps, max tokens, and max wall-clock time per run.
• Idempotent tools so retries do not double-charge or double-send.
• Explicit human approval for irreversible actions (refunds, deletes, publishes).

Memory with intent

Short-term scratchpads for the current task; long-term memory only for facts you can cite and invalidate. Unbounded memory stores become a second RAG problem with worse failure modes.

Handoff is a feature

Design the UI for "agent paused — needs you." Summarize what it tried, what it needs, and one-click resume. Agentic products that cannot escalate cleanly become support tickets — we build the handoff path as part of every AI automation project.