Bring your context
Give your agent access to the workout plans, exercises, history, notes, saved meals, and daily targets it needs.
Agent builder
Your agent prepares. You stay in control.
Connect an agent to your Helios account through MCP. Let it read the context you choose, prepare a plan, and explain proposed changes before you approve a save.
HeliosWorkspace Prepared for your review
A plan for your week
Context4 sources
StatusReview first
01Workout plansYour current routineRead
02Training historyCompleted sessionsRead
03Training notesYour preferencesRead
04Proposed changesWaiting for your approvalReview
Your agent prepares. You approve the next step.
Your training. All together.
Plan with your agent. Train with Helios.
Keep your records together across iPhone and web.
- iPhone
- Web
- Your AI agent
A simple routine.
A clear next step.
Connect your AI agent to Helios, review your training context, and approve proposed changes to plans and saved meals.
Use Helios with your agentYou your agentRead my Helios workout plans, recent history, and notes. Propose a weekly routine that fits my schedule. Explain what would change and wait for my approval before saving.
Review the proposal before you approve a change.
- 01
Connect your agent
Follow the setup guide for your agent and start with permission to read your training information.
- 02
Ask in your own words
Describe your goals and schedule. Ask the agent to read your current context before it makes a proposal.
- 03
Approve the next step
Check what will change before a save. Review the change summary when it is done.
Less to juggle.
More room to train.
Keep the details that matter in one place, from the first plan to the next review.
Review before saving
Ask it to explain proposed changes. Give permission to make changes only when you want it to update plans or saved meals.
Keep training in Helios
Use the app to record performed sets, complete workouts, and log food. Your agent helps with preparation and review.
Prepare with your agentReview in HeliosMake it part of your routine
Bring the agent you already use.
Connect through MCP. Start with your training context, then review each proposed change.
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