meeting_followup_generate_all_artifacts
Save time by generating all meeting follow-up artifacts—coaching insights, CRM notes, tasks, email, team update—in one action using parallel LLM calls.
Instructions
OPTIMIZED: Combines coaching (F5) and artifacts (F6) into a single action with 5 parallel LLM calls. Reduces execution time by ~50%. Use this instead of separate F5 and F6 actions.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| transcript_analysis | Yes | The analysis from Analyze Transcript action (F4). | {{transcript_analysis}} |
| user_context | No | User context from Load Followup Context action (F2). | {{followup_context}} |
| user_context_data | No | Raw user.context data as fallback for user name/role. | {{user.context}} |
| enriched_event | Yes | The enriched event data with meeting info from Enrich Calendar Event. | {{enriched_calendar_event}} |
| fast_model | No | Model for CRM notes, tasks, and team update. | gpt-5-mini |
| quality_model | No | Model for coaching and email (higher quality). | gpt-5 |
| team_channel | No | Slack channel for team update. | #sales-team |
| meeting_memories_answer | No | Optional. LLM response from Query Meeting Memories action providing cross-meeting context from prior meetings in this series. | {{meeting_memories_answer.llm_response}} |
| output_variable_name | Yes | Variable name to store all artifacts. Also sets: coaching_insights, followup_artifacts, followup_email, crm_summary, task_list, team_update, email_subject, results_subject, strengths, improvements, recommendations. | all_artifacts |