Profile count
Three core modes
Enough variety to expose value without turning settings into model-ops controls.
User companion
DelphAI xLM
Standalone user-facing runtime for chat, saved prompts, schedule-driven briefings, and league-grounded sports assistance.
Agent profiles
The user companion can offer distinct working styles, but those styles stay inside the user-facing solution family and do not expose operational or admin configuration.
Tone, response length, citation posture, and tool preferences belong in this screen. Model deployment, secret rotation, and operational analytics do not.
Profile count
Three core modes
Enough variety to expose value without turning settings into model-ops controls.
Audience
User-owned
These controls tune output style and tool posture, not administrator behavior.
Fallback
Capability-aware
Each profile still needs to disclose when a league or tool is blocked.
Profiles
These cards give orchestration a stable set of user-facing profile names and expectations to honor.
Fast, concise, scoreboard-first
Optimized for quick game-day answers, schedule pivots, and clear follow-up questions.
MLB schedule lookup, MLB game lookup
Structured, context-heavy, report-ready
Turns prompt assets into polished briefings with caveats, citations, and next-run recommendations.
Schedule lookup, game lookup, capability status
Sparse, trigger-driven, action-oriented
Designed for scheduled prompts and follow-up alerts once queue-backed orchestration comes online.
Capability status, schedule lookup