[v1.3.0] — 2026-03-27

Added

• Multi-Channel CRM Simulation (src/crm_system.py, src/external_email_ingest.py): introduced native integrations for Salesforce and Zendesk. The simulation now tracks CRM account ownership, flags "at-risk" opportunities during incidents, and automatically escalates customer support tickets based on system health.
• High-Fidelity Meeting Transcripts (src/normal_day.py, src/day_planner.py): Added Zoom as a meeting medium for design discussions. Unlike Slack threads, Zoom produces verbatim Markdown transcripts that capture undocumented verbal decisions, creating intentional "knowledge gaps" for RAG evaluation.
• Synthetic Business Telemetry (src/post_sim_artifacts.py): Introduced a post-processing suite that generates deterministic Datadog metrics (latency/error spikes), NPS surveys, and customer invoices featuring SLA credits calculated directly from simulation incident duration.

Changed

• State Machine Grounding (src/flow.py, src/memory.py): Expanded the SimEvent bus to include CRM and meeting events. LLMs now receive crm_summary context during daily planning to ensure outbound sales emails and support responses align with the global organizational state.
• Advanced Social Graph Dynamics (src/org_lifecycle.py): Enhanced the employee departure logic. When an engineer leaves, the system now deterministically handles CRM ownership lapses alongside ticket reassignment and Dijkstra-based incident handoffs.
• Simulation Parameters (config/config.yaml): Updated default simulation length to 30 days and adjusted hire schedules for Janice (Day 7) and Reese (Day 20) to better stress-test mid-sprint transitions.

Fixed

• Email Signal Accuracy (src/external_email_ingest.py): Improved the external contact generator to pull from a larger pool of 14 sources (up from 7) and corrected account name resolution to favor active Salesforce records over static config defaults.
• PR Review Context (src/memory.py): Fixed a lack of historical depth in code reviews by implementing context_for_pr_review, which deterministically pulls prior comments and linked Jira updates into the LLM prompt.