You are helping me build the following AI agent workflow.

## Goal
Employee Time Tracking System Reports: Tracks employee work sessions via webhook, detects missed clock-ins with daily reminders.

## Specification
- What it does: You get automatic daily reminders when employees miss their clock-ins so you never lose track of work sessions. This agent logs all start, end, and break times into your n8n Data Tables while using OpenAI to spot patterns, then sends monthly productivity reports directly to your Gmail.
- Trigger: On a schedule (Scheduled · daily and monthly)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n Data Tables: Store timestamps, break durations, and worker IDs
  - OpenAI: Summarize working hours and productivity trends
  - Gmail: Send formatted daily or monthly reports to employees and supervisors

## Known pitfalls, handle each one explicitly in your implementation
1. Timezone mismatches can corrupt data so always store timestamps in UTC and convert only at display time.

## Reference implementation
https://n8n.io/workflows/10189 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/employee-time-tracking-system-with-gpt-4o-reports/ via usecasesforagents.com