An executive assistant that takes the detail, not the decision
The executive assistant reads your data and proposes; specialist agents prepare the work. Nothing sensitive runs until you approve it.
The path every action takes
Plan
The agent works out what's needed and which authorised data to use.
Simulate
It estimates the impact before anything changes.
Policy check
It checks limits: minimum margin, spend caps, permissions.
Approve
You, or someone you delegate, see the reason and the before/after.
Execute
Only through the official API, with an idempotency key.
Verify
It waits for the platform's confirmation rather than assuming success.
Report
The outcome goes to the audit log, and anything needing a human is raised.
Specialist agents, each within its limits
Executive agent
Builds the morning brief, proposes the day's plan and follows it through.
Pricing agent
Proposes channel prices within margin and discount limits.
Inventory agent
Spots likely stock-outs and proposes reorders or pausing ads.
Ads agent
Reads performance and proposes spend changes and campaign drafts.
Content agent
Writes titles, descriptions and ad copy without unsupported claims.
Returns and claims agent
Tracks returns and prepares reimbursement claims you're owed.
Shipments agent
Follows shipments, customs clearance and document expiry dates.
One instruction, end to end
“Prepare the profitable products from supplier offers, publish the ones I approve to the store and Amazon, and draft a Shopping campaign once I sign off the budget.”
- Pulls products from authorised sources and detects duplicates
- Calculates price and margin — if a fee is unknown it's flagged and no profit is claimed
- Proposes tasks for your team to verify prices and availability and review content
- Creates a listing batch awaiting your approval, and publishes only what you approve, where allowed
- Drafts the campaign, asks for budget approval, then follows the platform's review
- Reports what's published, pending, rejected and what needs you
Safety by design
- User instructions are kept apart from untrusted platform and product content, to resist prompt injection
- Secrets and tokens are never passed to the AI model
- Daily spend, operation and timeout limits per agent
- A record of every run: inputs, tools used, approval and outcome
- Shadow mode: an agent proposes and is measured before it may execute anything
- A kill switch per agent or for the whole account
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