Trigger
A signal that starts an automated flow: a form submit, status change, schedule, or inbound webhook.
A trigger is the event that starts an automation—form submissions, status changes, schedules, or inbound webhooks. It captures context and hands it to the workflow.
Teams rely on triggers to kick off lead routing, ticket triage, billing updates, and data syncs. Accurate trigger payloads reduce rework.
In orchestration, triggers map events to workflows with filters and dedupe. Good triggers improve responsiveness and keep runs auditable.
Frequently Asked Questions
What makes a good trigger payload?
Includes identifiers, timestamps, source system, and relevant fields. Enough context to process without extra lookups when possible.
How do I prevent duplicate triggers?
Use idempotency keys, dedupe windows, and stable event IDs. Ignore repeats within a short timeframe unless data changes.
Should triggers filter events?
Yes—filter early to avoid wasted runs. Define conditions (status changes, priority) before enqueuing work.
How do I retry failed triggers?
Persist events, use DLQs for repeated failures, and reprocess with idempotent handlers. Log failures with context.
Can triggers be scheduled?
Yes—cron/schedules for batch tasks. Treat schedules as events with parameters so they are traceable.
How do I secure inbound triggers?
Validate signatures, enforce auth, rate limit, and schema-validate payloads. Reject malformed or unauthenticated calls.
How do triggers fit with SLAs?
Capture trigger time to measure end-to-end latency. Prioritize or rate-limit triggers to meet SLA commitments.
Can one event trigger multiple workflows?
Yes—fan out with routing logic and correlation IDs. Ensure downstream actions are idempotent.
What should I log for triggers?
Event ID, source, received time, validation result, and workflow started. Include correlation IDs for tracing.
Agentic AI
An AI approach where models autonomously plan next steps, choose tools, and iterate toward an objective within guardrails.
Agentic Workflow
A sequence where an AI agent plans, executes tool calls, evaluates results, and loops until success criteria are met.
Agent Handoff
A pattern where one AI agent passes context and state to another specialized agent to keep multi-step automation modular.
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