Live · assistwithbuying.com
Assisting your AI to assist you with buying and purchases.
Assist you and your AI with every part of a buying decision — the research, the candidates, the prices, the evidence and the reason you decided.
- assist with comparing
- assist with prices
- assist with candidates
- assist with deciding
- assist with waiting for the right one
What's inside
Four things it does for you and your AI
Not a shopping chatbot with buying words bolted on. Buying is the place your AI works inside — whichever AI you like.
Use the AI you already like
Bring any AI client that speaks remote MCP and can sign you in over OAuth. Then decide what it may actually do here — reading, saving, working your Queue — and change your mind whenever you like.
Queue what you want it to do
“Find three sold comparables.” “Check if this is still listed.” Line up work — with a photo and a note attached — and let any session pick it up. Scoped priorities and per-item next steps are on the roadmap below.
Memory that makes the next session smarter
Research results, sources, dated price evidence and corrections are saved for later. Your AI starts the next conversation already knowing what you looked at and what came of it.
See the research however you need
A Mission can hold options, a comparison board, dated evidence, source checks and a decision timeline. Some person-side editors and alternate views are still on the roadmap below.
Ways people use it
A purchase worth researching is a purchase worth remembering — whether that takes an evening or two winters.
Researching something new
Narrow a category down to the two or three that genuinely fit, and keep the reasons.
Buying used
Keep the thing separate from the offer — same model, five sellers, five conditions.
In the field
Garage sale, estate sale, antique booth. Photo it, queue it, let your AI catch up later.
Where to buy it
Retailer, marketplace or local pickup — compared on landed cost and hassle.
What is this worth?
Historical prices, sold comparables, and an honest range for something you already own.
Research loops
Good ideas your AI can borrow.
Short playbooks for a kind of buying work — the right questions, in a sensible order. Entirely optional: your AI can follow one, adapt it, or ignore them all.
- Establish a fair price6 steps
- Check a used listing before you drive5 steps
- Find where to actually buy itin progress
- Watch a price until it's rightin progress
- Work a garage or estate salein progress
- Decide between two you likein progress
Inside a loop
Establish a fair price: find sold results, not asking prices → adjust for condition and collection → save each comparable with its source → state a range with the uncertainty visible.
Observations
It writes down far more than you would.
Price evidence your AI records today already carries its date and its source — you never log it yourself, and you don't build your own spreadsheet. The Mission-scale ledger this illustration shows — hundreds of dated observations per goal, every summary traceable to the rows beneath it — is where that is headed, on the roadmap below.
- asking
- sold
- observed
- estimated
- availability
- condition
Visualising the work
Various ways to show the research your AI does.
Ask your AI to line the options up against your criteria and it builds the board. Ask what a fair price looks like and it fills a timeline. Ask what's worth driving to and it puts the listings on a map. You are not stuck reading its answer as a wall of chat — the work it does arrives as something you can actually look at, and it stays there after the conversation ends.
- Board
- Timeline
- Table
- Map
- What changed
Illustration with invented data. The Mission board is on the roadmap.
Roadmap
Shipped, and on the way.
Now means shipped and verified. Next is direction, not a date.
Illustrations on this page use invented data — never real research. Last verified 2026-08-14.
Bring your own AI
Connect it once. Then just say what you're buying.
Sign in through your AI over MCP and OAuth — no keys to paste, no passwords stored here. Every call is attributed to the connected client. You choose what it may reach on your AI access page, and narrowing or revoking stops it on the AI's next request. The connector cannot delete or publish private research. Its narrow public exception is an explicitly confirmed, privacy-scrubbed Places note that the same person can later withdraw.
AI reading this page? Start with assistwithbuying.com/ai.txt.
What it can do today
- awb_get_buying_briefsee current work
- awb_search_workspacefind prior work
- awb_get_mission_contextload a Mission
- awb_save_complete_resultsave a complete result
- awb_list_public_locationsfind public venues
Five of forty-five. Mission, Queue, item, place, Appraisal, suggestion, image, and public-venue tools work together.
Reasonable questions
The boundaries, in plain terms. Open what you care about.