AI agentsAmazon operationsTikTok video
AI agents that run Amazon operations for large sellers
We build and run agents for listings, advertising, inventory and product research — and produce TikTok video — on Claude Fable 5, Opus 5 and Sonnet 5. Your team approves; the agents do the work.
One seller, many agents in parallel
What we do
Four ways to work with us
Agents that run the daily work, a studio that makes the video, consulting for teams building their own AI capability, and operators who run the whole thing when you would rather not.
AI agents for Amazon operations
Agents for the work that never stops: listings, advertising, inventory and product research. Every action lands in a queue your team approves, with an audit log.
- Listings: creation, validation, copy updates, A+ drafts
- Advertising: campaigns, bids and negatives managed against margin targets
- Inventory: restock alerts, low-stock ad pausing, FBA inbound planning
- Product research: keyword, market and competitor scans
TikTok video production
An in-house studio — director and filming specialists — plus AI video tooling for scripts, hooks, subtitles, B-roll and templates. Short-form video for product launches and TikTok Shop.
- Script and hook writing
- Shooting, editing, color and sound
- AI-assisted B-roll, subtitles and templates
- Account operations and livestream support
AI consulting
For sellers and brands building their own agents: find where agents pay off, design the architecture, plan capacity and cost, and run the rollout — pilot one SKU, measure, then scale.
- AI readiness assessment for operations teams
- Agent architecture: model routing, prompt caching, batch, human-in-the-loop
- Capacity and cost planning, including rate limits
- Rollout playbook and team enablement
Managed operations & e-commerce strategy
Day-to-day marketplace operations run by our operators with agents behind them — and the strategy work we started with: platform selection, partner evaluation and market entry for brands opening new channels.
- Managed marketplace operations
- Platform and partner evaluation
- Market-entry strategy for new channels
- Monthly reviews and reporting
The agent fleet
Agents for the work that never stops
Each seller runs many agents in parallel. They read your data, propose actions and execute what your team approves.
Listing agent
Drafts and validates listings, keeps copy current, prepares A+ content.
Advertising agent
Watches campaigns and ACoS against margin, adjusts bids and budgets, adds negatives.
Inventory agent
Tracks FBA stock, flags restocks, pauses ads on low stock, plans inbound shipments.
Research agent
Scans keywords, markets and competitors; surfaces opportunities and threats.
Video agent
Turns product facts and scripts into short-form video with hooks, subtitles and B-roll.
How we keep people in charge
Approval queue
Agents propose; your team approves or rejects from a dashboard before changes are made to your listings, ads or inventory.
Audit trail
Every recommendation and decision is logged with a timestamp, so you can always see what was proposed and what was approved.
Scoped by workflow
Each agent works one workflow — listings, advertising, inventory or research — and only acts on what your team approves. We can stop any agent at any time.
How we roll out
Pilot one SKU. Then scale the catalog.
Token consumption scales with catalog size, and large sellers run hundreds of SKUs. So we measure before we scale.
Discovery
We map your catalog, accounts, data and the work your team does today, and agree what the agents take over first.
Pilot on one SKU
Agents run on a single SKU per seller. We measure usage, latency, quality and the approvals your team makes.
Capacity plan
From measured per-SKU usage we write the capacity plan: model routing, caching, batch windows and throughput headroom.
Scale across the catalog
We roll out SKU by SKU against the plan, reviewing usage and results with you as we go.
Under the hood
Built on Claude, designed for throughput
The workloads are agentic and bursty — many parallel agents per seller — so the architecture is built around throughput and control, not just prompts.
Model routing
Each step runs on the lightest Claude model that does it well — Fable 5, Opus 5 or Sonnet 5 — so cost and latency match the job.
Prompt caching & batch
Shared context is cached; non-urgent work runs in batch windows to cut cost and smooth peaks.
Parallel agents
Each seller runs many agents at once, scoped per workflow, so a slow task does not hold up the rest.
Human-in-the-loop
An approval queue and audit log sit between every agent and your account.
Why Genuine Reserve
Operators first, then AI
We run stores ourselves
We have sold on Amazon and TikTok ourselves and built the agents for our own operations before running them for clients.
Measured, not promised
Every rollout starts with a one-SKU pilot and a capacity plan built on measured usage.
People stay in charge
Agents propose, your team approves, every decision is logged. We can stop any agent at any time.
Three languages
A US company in Los Angeles working in English, Chinese and Spanish, with a bilingual operations and content team.
Book a 30-minute intro
Tell us what you sell and what you would like the agents to take over first.
Book a 30-minute intro