Let an agent browse the marketplace for you: scan, haggle, check condition, then call you to decide
r/MetaAI 讨论串留言者(原帖不可读,未取得用户名)Reddit · Date not disclosed
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采集站 agentusecases.ai 的编辑摘要(原帖 Reddit 线程在本次采集时不可读,以下为转述而非引文):留言者把 Muse 当作能在应用内端到端处理小事的个人助手。一位用户说,他让助手扫描 Facebook Marketplace 上的玩具,进行议价、确认物品成色,并在遇到好价或免费自取时提醒他;另一位说用它生成开销追踪表、安排会议、发跟进邮件、以及找要买的东西。最明确的结果是:一位用户称到目前为止已经给女儿拿到了两件玩具;另一位称用于订阅取消和梅西百货差价退赔的沟通,每单节省约 5 到 10 分钟。多位留言者提到用推荐码注册获得 10 亿初始 token,但帖子没有给出更清晰的价格或用量上限。
Business model
Several Reddit commenters describe running Meta Muse as a personal errand agent. One has it scan Facebook Marketplace for toys, negotiate, check that items are in good condition, and alert them only when something is a good deal or free to collect. Others use it to build expense trackers, schedule meetings and send follow-up emails. The two most concrete reported outcomes: one user got two toys for their daughter, and another says subscription cancellations and Macy's price-adjustment chats saved about 5 to 10 minutes each. No money figures. The point is not the saving but handing over the browsing, asking and haggling, and being called back only at the moment money or pickup is involved.
The transferable design is the authorisation boundary: look, compare and draft on full auto; send, pay and meet only on human approval. What actually saves time is compressing ten listings into three lines, not the haggling wording. Moving the boundary one step forward barely increases the gain and raises the risk sharply.
Workflow
- Write the requirement as decidable conditions: city and distance, category and model, budget ceiling, minimum condition, and what to skip outright.
- Set the interruption threshold: only alert on a price below a figure, a condition tier, or an explicitly free item.
- Run a first pass with no outreach at all, to judge whether the shortlist quality is usable.
- For each candidate have it draft a polite offer at your chosen percentage below asking, and list red flags it cannot explain away.
- Approve candidates one by one before anything is sent; you handle payment, login and meeting in person.
- Review approval and completion rates, then widen or tighten the filters before scaling up.
Adaptation plan
No prices, no transaction values, no failure rate and no clear token pricing or usage caps in the thread. The original text could not be read at collection time (Reddit returned HTTP 403 on every public endpoint; no Wayback snapshot). Figures quoted are self-reported by commenters and unverified. The workflow, prompt and pitfalls here are AgentFlow proposals, untested.
Starter prompt
Written by AgentFlow; not the original author’s prompt. Not independently deployed in Muse or Grok.
You are my assistant for sourcing second-hand items and handling small errands. Rule: you may look, compare and draft, but you may not send anything or pay anything without my approval.
[INPUT]
City and acceptable distance: [city, max distance]
Item and model: [category, required model or spec]
Budget ceiling: [amount]
Minimum condition: [e.g. works normally, cosmetic wear acceptable]
Skip conditions: [e.g. missing accessories, collection only, description under two lines]
Bidding rule: [percentage of asking price]
[EXECUTION STEPS]
1) Scan current listings and shortlist five by price, number of photos and described condition.
2) For each, give: asking price, a summary of the seller's own condition wording, and red flags you detect (reused photos, very short description, unusually low price, seller requesting payment off-platform).
3) Draft a polite offer message for each. Courteous tone. Do not imply you have inspected the item.
4) Present the shortlist and the drafts together, noting whether each suggested offer matches the bidding rule I set.
5) Stop and wait. I approve entries individually; you send only the ones I approve.
[OUTPUT REQUIREMENTS]
- Shortlist table: number, title, asking price, suggested offer, condition summary, red flags, distance.
- Draft messages listed separately, each under 120 words, ready to paste.
- End with an explicit confirmation: "No messages were sent in this scan."
- Without my approval, send nothing, promise nothing, pay nothing, and never share my contact details.
[HUMAN CONFIRMATION POINTS]
- Shortlist and drafts require my per-item approval before sending.
- Payment, in-person meeting, account login and sharing contact details are all mine to do.
- If a seller asks for off-platform payment or payment before inspection, stop and tell me; send no reply.
[COMPLETE SMALL SYNTHETIC INPUT AND OUTPUT — not real business data; no model execution]
The JSON contains all demo inputs and a manually authored reference output. Do not invent facts from files not supplied. This reference covers only this minimal input and is not a business reproduction.
{
"input": {
"city": "City A",
"max_distance_km": 10,
"budget": 180,
"offer_fraction": 0.8,
"required_item": "folding scooter",
"listings": [
{
"id": "A",
"item": "folding scooter",
"asking": 160,
"distance_km": 3.2,
"seller_condition": "works normally; wheels worn",
"photo_count": 1
},
{
"id": "B",
"item": "folding scooter",
"asking": 200,
"distance_km": 6.8,
"seller_condition": "almost new",
"photo_count": 1
}
]
},
"expected_output": {
"candidates": [
{
"id": "A",
"offer": 128,
"condition": "seller-described only, not inspected",
"red_flags": [
"only 1 photo"
]
},
{
"id": "B",
"decision": "skip; asking exceeds budget"
}
],
"draft": "Hello, is listing A still available? Would you consider 128? Please confirm condition and collection arrangements.",
"messages_sent": 0,
"payment_made": false
},
"mode": "synthetic_read_only_reference_not_model_execution"
}Running costs and pitfalls
No prices, no transaction values, no failure rate and no clear token pricing or usage caps in the thread. The original text could not be read at collection time (Reddit returned HTTP 403 on every public endpoint; no Wayback snapshot). Figures quoted are self-reported by commenters and unverified. The workflow, prompt and pitfalls here are AgentFlow proposals, untested. No independent cost benchmark is available. Check subscriptions, permissions and external actions before running a workflow.