OpenClaw negotiates a Hyundai Palisade purchase
Aaron Stuyvenberg used OpenClaw to research local prices, contact three dealers and exchange competing quotes, reporting a $4,200 discount before taking over financing and signing.
Original prompt
Shared by the source author. See source notes for context.
Search reddit.com/r/hyundaipalisade and find the typical and lowest prices people paid for a 2026 palisade hybrid in Massachusetts
Reach people exploring AI agents
See placements →Evidence at a glance
Sourced account- Source author
- Aaron Stuyvenberg
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- Stuyvenberg reports a $4,200 dealer discount and a purchase around $56,000 after agent-assisted negotiation, with financing handled by him.
- Human involvement
- Stuyvenberg set constraints, handled telephone messages, corrected a wrong-thread reply and took over credit applications, signing and collection.
A linked account supports attribution. It does not mean we independently reproduced its result.
Report an issue with this case
Open correction emailOpens your email app with the case link included. Nothing is sent automatically.
How the agent did it
- Research local prices and find matching inventory near Boston.
- Contact dealers and collect out-the-door quotes through email.
- Check for replies and exchange competing quote PDFs with consequential replies gated.
Aaron Stuyvenberg used OpenClaw, then called Clawdbot, to buy a Hyundai Palisade with a particular exterior and interior combination. He first asked it to research local purchase prices, then search inventory within fifty miles of Boston and contact dealers for out-the-door quotes.
The agent filled contact forms using information already available through Gmail and WhatsApp. It found three dealers with the desired car. Stuyvenberg then scheduled repeated inbox checks and instructed it to exchange competing quote PDFs, while asking before consequential replies. He redirected telephone and text conversations back to email.
One error exposed the limits of that coordination. The agent replied in the wrong dealer thread with a message intended for a different contact. Stuyvenberg says he did not allow the system to operate fully autonomously.
After several days, he reports a $4,200 dealer discount and a price around $56,000. When credit applications arrived, he stopped the agent and took over communication, electronic signing and collection. This is an owner's reported purchase and negotiation saving, not an independently audited comparison with every available offer. The source makes the division of responsibility clear: repeated inventory and email work belonged to the agent; financing and final commitment belonged to the buyer.
Prompt
Original prompt
Source: Blog · Aaron Stuyvenberg
Frequently asked questions
How many matching dealers replied?
The original account says the agent found three area dealers carrying the desired configuration.
What mistake occurred?
It sent a message in the wrong dealer email thread during simultaneous communication.
Did the agent sign the financing?
No. The owner stopped it when credit applications arrived and handled the final communications and signing.
More details
Remaining steps
- Stop before credit applications and let the owner finalize the purchase.
About this account
OpenClaw researches prices and inventory, contacts dealers, monitors email and exchanges quote PDFs.
Firsthand primary account opened and read; original publication date checked in primary metadata or visible timestamp. Outcomes are author-reported, not independently reproduced. Original linked from both discovery articles; saving and price are author reports; wrong email thread and human financing preserved. Original prompt excerpt reproduced exactly from the source; excerpt only, not the complete prompt.
Credit: Aaron Stuyvenberg
Source published
Added to Agents In Use
Source checked
Tools and topics
OpenClaw · Browser · Gmail · WhatsApp · Scheduled jobs · Quote PDFs
Shopping · Reported deployment
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.