AI agents for consumer packaged goods.

Every retailer has its own portal. Every distributor sends its own report. Brokers send recaps in their own format. A brand selling into a few hundred doors has a dozen logins and a person whose real job is downloading spreadsheets and pasting them into another spreadsheet.

That is the job an agent takes first. It logs into the portals your team already uses, pulls the reports on a schedule, cleans them into one view and writes a short note on what moved. Your team starts Monday with the answer instead of the download.

The note is the point. A spreadsheet tells you velocity fell at one chain in the Southeast. The agent's note tells you it fell in the same week a competitor ran a promotion and two stores were out of stock, and it lists the stores. Your sales lead calls the broker with the facts instead of a hunch.

Deductions are where margin leaks quietly. Short ships, pricing errors, late penalties, promotional chargebacks, each one small, each one with a deadline to dispute. Most brands write off what they cannot chase.

• Pulls every deduction from remittances and retailer portals into one list.
• Matches each one to the order, the bill of lading, the proof of delivery and the promotion agreement.
• Drafts the dispute with the backup attached, for your finance lead to approve and send.
• Tracks every open claim to its deadline and reports what was recovered.

Trade spend is often the biggest line after cost of goods, and the hardest to measure. The plan lives in one file, the broker's recap in another, the retailer's scan data in a portal and the invoice in accounting.

An agent ties them together. It reconciles what you agreed to pay against what was billed, lines up the promotion weeks against sell-through, and writes a plain read on each event: what ran, what it cost, what it moved. The next plan starts from what worked.

Accrual errors shrink too. When the agent closes each promotion against its invoice, finance sees the real liability every month instead of finding out at year end. The rules for each retailer, like how they bill and when they settle, live in a plain text file your team can read and correct.

A reformulation or a new pack size means updating images, ingredients, claims and dimensions at every retailer and on your own site. Miss one and the listing is wrong for months.

• Keeps one master record for each item and syndicates changes to each retailer's format.
• Checks live listings against the master and flags anything out of date.
• Writes retailer-specific copy from approved claims only, never new ones.
• Keeps your own product pages written the way shoppers search and the way answer engines read.

Brands need more creative than any team can make: posts for each channel, retailer feature assets, sell sheets for buyers, short video. An agent drafts it in your brand's look and voice from your approved assets and claims, and your brand lead approves before anything posts.

Demand signals sit underneath all of it. The agent watches sell-through, reviews and search interest, and tells your team which items are moving and where, before the reorder is late.

You own the agent, the app it works in and the files. Its instructions live in plain text files your team can read and change. It runs on whichever AI is best this year and moves when a better one ships, so the work compounds instead of starting over.

• There is no ten-year-old agentNobody has seen a grown AI agent, because none is old enough. What we build you today gets more capable by itself.Created Nov 1, 2026 · Updated Nov 1, 2026
• Why a lobster?Agent means too many things. Lobster means one: an AI with a harness. How one is born, why it molts, and why they swarm.Created Nov 1, 2026 · Updated Nov 2, 2026
• Run it on a Mac miniWe push owners to run their agents on a box they own. The cloud is fine too. Same agent, same files. And the honest catch.Created Nov 1, 2026 · Updated Nov 2, 2026