The Pine AI agent is a voice AI agent that calls sellers for you and negotiates toward a price you set. You collect seller phone numbers, hand them to Pine AI with your strike price, and it works each listing down. Pine AI is a third party product; this post covers how the setup works and how to fit it into an agent stack.
You
├─ collect seller phone numbers (from the listings)
├─ write the brief: car, condition, max price
└─ Pine AI agent
├─ call seller 1 ──> counteroffer ──> stop at strike
├─ call seller 2 ──> counteroffer ──> stop at strike
└─ call seller N ──> results back to you
│
└─ follow up: post the shortlist with
Creator OS MCP tools (create_post,
reply_to_comment) so buyers see itWhat Is the Pine AI Agent and How Does It Negotiate for You
Pine AI is a voice agent, so it negotiates out loud on a phone call, not in a chat window. The workflow from the demo is five lines: gather seller numbers, hand them over, set your exact strike price, let Pine AI call and negotiate, then buy at the price you wanted. You never dial. The agent handles the awkward part, which for most people is the first counteroffer and the silence after it.
The reason this works at all is volume. One car, one seller, one chance to fold. Ten listings, ten calls a day, and you are no longer negotiating against one person. You are shopping a market.
How to Set Up Pine AI to Call Marketplace Sellers: 5 Steps
The setup is short: collect numbers, brief the agent, set the ceiling, run the calls, read the results. You do the first two once, then repeat for each new batch.
- Collect seller phone numbers. Pull them from the listings you would actually buy. Twenty is a workable batch. Write each one down next to the asking price and any detail that changes value, like mileage, service history, or a known fault.
- Hand the numbers to Pine AI. Paste the list into the agent with the context from step one. Keep one number per line so the agent does not merge two listings into one call.
- Set your exact strike price. One number, per car or per model. This is the instruction that stops the agent.
- Let it call and negotiate. Your job now is not to be on the phone. Check results once the calls finish, because sellers may call you back at a price the agent already cleared.
- Follow up. Shortlist the sellers who came down to or near your number, then arrange inspection and payment yourself. The agent negotiates price, not condition or paperwork.
How to Pick Your Strike Price Before the Agent Calls
Your strike price should be a number you can justify with a calculation, not a number you feel good about. Build it from three parts: the market price for that model, the cost of anything you will have to fix, and a small buffer so you are not stuck at the exact ceiling.
| Part | Example | Why it matters |
|---|---|---|
| Comparable price | Sellers asking 12,000 to 13,500 | Anchors what a fair deal looks like |
| Repair or inspection cost | Tyres and service, 600 | Shifts your number down before the call |
| Buffer | 300 | Leaves room for a second round |
| Strike price | 11,900 | The line the agent does not cross |
Two rules make this usable. First, set the strike price per listing, not per car model, because a 2019 with 90,000 km is not a 2019 with 150,000 km. Second, decide the strike price before you hear any seller’s pitch. Once you have spoken to someone, you anchor on their number. Write it down first.
What to Say in Your Prompt So Pine AI Knows Where to Stop
A prompt that leaves room for interpretation gets you a polite conversation and no discount. Be specific about the ceiling, the fallback, and what the agent should do when it hits a wall.
Call these sellers about the car listings below.
Car: 2019 example, automatic, under 160,000 km.
Asking prices: 12,400 / 13,100 / 12,900 (list number by number).
Strike price: 11,900 for each.
Open by asking their best price for a cash sale this week.
If they counter above 11,900, say I have another car
at that price and ask them to match it.
Do not go above 11,900. If they will not move,
end the call politely and note the lowest number they said.
After each call, tell me: final price offered, any
conditions (inspection, deposit), and whether to call back.The closing instruction matters as much as the ceiling. You want a record of the lowest number each seller gave you, even when they refused. That list is what you use to decide which two cars to actually go and see.
Does AI Negotiation Actually Work on Facebook Marketplace Cars?
It can work, and the reason is structural rather than clever. Marketplace sellers are used to messages, not calls, so a calm, specific voice asking about a cash price stands out. The agent also never gets embarrassed, never apologises for a low offer, and never agrees to something at 9pm because it wants the call to end.
What it will not do is inspect the car. A price agreed by phone is not a deal until you have seen the vehicle, checked the paperwork and confirmed the seller actually owns it. Treat every negotiated number as a target, not a contract. Budget for a pre purchase inspection before money moves, and walk away if the seller resists one.
This is the same pattern that makes agent tools worth setting up elsewhere. The agent handles rep after rep of low leverage work. You handle the judgement call at the end. You can watch how Kevin builds these workflows on the KevBuildsApps YouTube channel, including the launch walkthrough at youtube.com/watch?v=-QBJH_PK3pY.
How Does Pine AI Compare to Skool, SNS, and Other AI Agent APIs for Your Workflow
Pine AI is one agent with one job. A stack is several agents with different jobs, and the question is whether each one can be driven by your AI app or has to be driven by a human. Pine AI, as used in the demo, runs the calls. Creator OS runs the accounts around whatever you are selling.
Creator OS ships a hosted MCP server at https://mcp.creatoros.ca/mcp and a CLI, so an AI agent can post, reply and read analytics on 11 platforms plus Skool. If you are flipping cars, that means the same agent app that briefs Pine AI can also publish the listing, answer comments on it, and post the sold update. The tools are named things like create_post, list_comments, reply_to_comment and get_post_analytics.
Skool sits in the same stack. A connected Skool community is reachable through tools like skool_create_post and skool_multi_post, so a car flipping community can get the shortlist post without a second login. For the wider picture of what an agent can touch, read the MCP docs and how to give an AI agent safe access to your social accounts.
| Job | Who does it | How you start it |
|---|---|---|
| Phone calls to sellers | Pine AI voice agent | Numbers plus strike price in a prompt |
| Publishing the listing and replies | Creator OS MCP tools | Connector in Claude or ChatGPT |
| Bulk posting to a community | Creator OS MCP tools | skool_multi_post |
Can You Use the Same Voice Agent Setup for Deals Beyond Cars
Yes, and the transferable part is the brief, not the car. Any purchase where the price is negotiable and the seller is reachable by phone fits the same shape: collect contacts, set a ceiling, list your fallback, ask for a written summary after each call.
Furniture, equipment, bulk stock for a resale business, and rental terms all work. So does the seller side: if you list something and get low offers, the same strike price logic tells you when to hold. The one thing to be careful with is anything regulated, like finance or insurance, where a scripted call can cross into advice. Keep the agent to price and availability there.
Whatever you sell, the follow up is content. One publish step, one reply pass, one analytics read is enough to keep a shortlist visible. The CLI keeps that to three commands:
creatoros posts:create --platforms instagram,facebook \
--text "Shortlist of the week: three cars under 12k" \
--media https://example.com/shortlist.jpg
creatoros inbox:comments --limit 20
creatoros analytics:best-time --platform instagramFAQ
How does the Pine AI agent negotiate Facebook Marketplace sellers?
You give Pine AI a list of seller phone numbers and a strike price, and it places the calls and negotiates by voice. It opens on price, counters offers, and stops at the ceiling you set. You then decide which sellers to visit in person.
What is a strike price in AI negotiation?
It is the highest number you are willing to pay, written down before any call happens. The voice agent uses it as a hard stop, so a persuasive seller cannot talk it past your limit. Build it from comparable prices and repair costs, not from what you hope to pay.
Is it legal to use an AI voice agent to negotiate car prices?
Recorded and automated calls are regulated, so check the rules where you live before running a batch of calls. Many places require disclosure that the caller is automated, and some restrict recorded calls outright. Keeping the agent to price questions and having it identify itself is the safer default. This is general information, not legal advice.
Does Pine AI have an API I can connect to other agents?
The video description links the product at 19pine.ai and describes the phone workflow only. It does not document an API, so do not plan around one. Check the vendor’s own site for current integration options.
What other AI agents can I run alongside Pine AI?
Creator OS publishes about 160 MCP tools for posts, comments, DMs, analytics, Skool, the blog and Shopify, so a Claude or ChatGPT connection can handle the publishing and reply side while a voice agent handles calls. It also ships a Claude Code plugin, and the open source Social Agents harness at github.com/kevinbadi/social-agents, which runs your socials on Creator OS.
Get Started With Creator OS: Wire Pine AI Into Your Agent Stack
Pine AI makes the calls. Creator OS makes sure the listing, the replies and the numbers around it are handled by the same agent app, through one hosted MCP server at https://mcp.creatoros.ca/mcp with nothing to install. Add it as a connector in Claude or ChatGPT, sign in, and pick read only or read and write.
Creator OS plans start at $14.99/month for 11 platforms plus Skool, with the API, the MCP server and the CLI included. Start at https://www.creatoros.ca/sign-up, then read the MCP setup docs for the exact connector steps. If you want the wider view of what an agent skills layer looks like, this post on agent skills for social media automation is the next read.
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