Model Profiles
Overview
Model profiles control which AI model your assistant uses and how it behaves. You set one profile as the workspace-wide default, and your assistant applies it to everything — conversations, background memory work, scheduled tasks, and more. You can override it per conversation or per action type when you need something different.
Built-in profiles
Every workspace starts with three built-in profiles. You can edit or duplicate them, but the defaults can't be deleted.
| Profile | Model | Best for |
|---|---|---|
| Quality | Claude Opus | Deep research, complex reasoning, high-stakes tasks |
| Balanced | Claude Sonnet | Everyday use — capable across the board at reasonable cost |
| Cost Optimized | Claude Haiku | Simple, short, or structural tasks where speed matters more than depth |
Balanced is active by default. Every call your assistant makes — conversation replies, memory filing, title generation — runs on Claude Sonnet unless you change it.
Switching profiles
Open Settings → Inference Profiles and select a different active profile from the dropdown. The change applies workspace-wide immediately — no restart needed. You can also create custom profiles from this screen if you want to use a different provider or model not covered by the built-ins.
Per-conversation override
Use the profile picker in the chat header to pin a different profile to a single conversation. It only affects that conversation — your workspace default stays untouched. This is the easiest way to run one session on a stronger or lighter model without changing anything globally.
Our recommendation
Keep Balanced as your active profile — it covers everyday use well. Then use Action Overrides to selectively upgrade the actions that benefit most from a stronger model, and step down only for tasks where the output is purely structural.
A good rule of thumb: anything that shows up directly in your conversation or drives a decision should stay on at least Sonnet. Tasks like generating a title, formatting a notification, or suggesting conversation starters are good candidates for a lighter model — they're short, easy to verify, and quality differences are barely noticeable.
Tip: use the per-conversation profile picker for one-off heavy tasks. Switch to Quality for a deep research session, then leave your workspace default untouched. That way you only pay for Opus when you explicitly reach for it.
Action overrides
Open Settings → Inference Profiles → Action Overrides to assign a specific profile to individual actions. Each action has a toggle — when off it uses your active profile, when on you pick a profile just for that action. You can search by name and reset everything back to defaults at any time.
| Action | What it does | Recommended |
|---|---|---|
| Agent loop | ||
| Main agent | The primary conversation agent that handles your messages | Quality |
| Subagent spawn | Spawns a subagent to handle a delegated subtask | Quality |
| Heartbeat agent | Runs background tasks and proactive checks on a schedule | Balanced |
| Filing agent | Files memories and updates the knowledge base after conversations | Balanced |
| Analyze conversation | Analyzes conversation content for summaries and insights | Balanced |
| Call agent | Handles voice call conversations | Quality |
| Memory | ||
| Memory · Extraction | Pulls facts and preferences out of conversations and stores them | Balanced |
| Memory · Consolidation | Merges and deduplicates your memory store over time | Balanced |
| Memory · Retrieval | Searches memory to surface relevant context during conversations | Balanced |
| Narrative refinement | Refines and polishes stored narrative memory entries | Balanced |
| Pattern scan | Scans conversation history to detect behavioral patterns | Balanced |
| Conversation summarization | Summarizes long conversation threads for memory and context | Balanced |
| Conversation starters | Generates suggested openers for new conversations | Cost Optimized |
| Workspace | ||
| Conversation title | Generates a title for each conversation | Cost Optimized |
| Commit message generator | Writes git commit messages from staged changes | Balanced |
| UI | ||
| Identity intro | Generates your assistant's introductory message on first launch | Balanced |
| Empty-state greeting | Generates the greeting shown on an empty conversation | Cost Optimized |
| Notifications | ||
| Notification decision | Decides whether to surface a proactive notification to you | Balanced |
| Preference extraction | Learns your communication preferences from how you interact | Balanced |
| Voice | ||
| Guardian question copy | Generates spoken prompts during guardian verification flows | Balanced |
| Watch commentary | Produces live commentary delivered via Apple Watch | Balanced |
| Watch summary | Generates brief summaries surfaced on Apple Watch | Cost Optimized |
| Utility | ||
| Interaction classifier | Classifies the type of each inbound message to route it correctly | Cost Optimized |
| Style analyzer | Analyzes your writing style to help your assistant match it | Balanced |
| Invite instruction generator | Generates onboarding instructions for new assistant invites | Balanced |
| Skill category inference | Automatically categorizes installed skills | Cost Optimized |
| Skills | ||
| Meet · Consent monitor | Monitors meeting consent during Google Meet sessions | Balanced |
| Meet · Chat opportunity | Identifies moments to send a helpful message during meetings | Balanced |