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Autobot: from a car search to an AI Agent

Autobot began with a practical question: how do you find and check a car when clues are scattered across listings, photos, documents, and finance offers?

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Open Autobothttps://autobot.ai.prostir.build/

Before you read

What gets published

By 4 September 2026, Autobot was published as v0.14 with a public passport, a catalog entry, and OAuth access.

Best for

Car buyers and sellers, and creators with a specific problem to solve.

Where the work happens

Vehicle research · Creation through conversation · A published Agent

01

The missing filter

  • The task was to find recently imported cars, including vehicles on red transit or foreign plates. Those clues may be visible in a photo or buried in a seller’s description rather than available as a search filter. Checking one marketplace at a time leaves you comparing fragments.
  • The actual build began on 31 August 2026: the creator supplied a long automotive research brief and system prompt, asked for an Agent named Autobot to help buy and sell cars, and explicitly started with a draft. The red-plate search later became a concrete example of its use.
02

Build, try, correct

  • The next requests shaped the Agent: check copied ads and advance-payment traps; turn the functions in the instructions into callable tools; add knowledge graphs with meaningful relationships; and remember preferences only with the user’s consent. Knowledge and its queries would use English, while live car searches would use the user’s language and location.
  • Then came garage dimensions, ground clearance, charging, maintenance, nearby workshops, warranties and country-specific rules. The creator asked for another review, corrected the logo and passport, expanded international coverage, and insisted that the main button explain how to connect rather than open a technical address. The work was a series of concrete requests, trials and blunt corrections.
03

More than a prompt

  • Autobot brings together five knowledge graphs about vehicle checks, country authorities, listing fraud, market sources, and finance. Its tools help compare duplicate listings, check a mileage timeline, estimate ownership costs, assess charging needs, and compare payment options.
  • The published passport describes a sequence: establish the country, identify the vehicle and seller, collect evidence, compare the economics, and prepare the transfer. Search results and asking prices are leads; they do not establish ownership or a safe deal.
04

The red-plate search

  • The experience already shared in our catalog describes a search for red transit and foreign plates in one city. The user reported receiving a list drawn from several sites, including a locally registered car whose seller said it had recently been imported.
  • That is the useful change: ask for the situation you care about, then inspect candidates and their sources together. Plate colour is a clue to investigate, not proof of import date, registration status, or seller honesty. This account is paraphrased from the published feedback.
05

Requests the instructions cover

  • These are example requests and expected deliverables derived from Autobot’s current system instructions, not additional completed customer cases.
  • “Check this 2019 Octavia 1.5 TSI with DSG.” Resolve the exact engine and gearbox, separate model weaknesses from this car’s history, and list evidence still needed before a verdict.
  • “Is this imported car hiding an auction accident?” Trace VIN records and pre-repair photos where available, compare the damage with the current repair, and prepare an independent inspection checklist.
  • “The mileage is lower in a newer advert.” Put dated mileage records in order, flag contradictions, and distinguish missing evidence from a demonstrated rollback.
  • “The seller wants a deposit to remove the advert.” Check duplicate listings, identity, authority to sell and possession. Missing basic verification must not become a recommendation to pay.
  • “Will it fit my garage?” Compare exact body and mirror widths, door space, gate, height, ramp and clearance with measurements. Tight geometry needs a physical trial.
  • “Can I run an EV without home charging?” Compare daily distance, charging window, actual power, connector and backup options; identify an energy shortfall or missing site check.
  • “Why does a $31,000 Kia become about $54,000 over 84 months?” Request the written offer, reconcile financed fees and add-ons, and show total cost and any final payment. A numerical illustration is not the user’s actual contract.
  • “Compare cash, a loan and a lease.” Use the same vehicle, period, mileage and final ownership position; show early-exit risk and remaining cash without assuming investment returns.
  • “Write only the message to the seller.” Return a short ready-to-send message about unresolved facts first, without burying it under a full report.
  • “Help me sell, then plan maintenance for my next car.” Prepare an honest listing and disclosure dossier; separately build a service calendar, compare researched workshops and estimate first-year costs.
06

What this proves

  • We checked the live passport, public catalog entry, and Agent metadata on 4 September 2026. The Agent was created on 31 August and was published as v0.14. This confirms a published product; the search outcome above remains a user report.
  • We have not measured time saved, search completeness, or plate-recognition accuracy. Autobot must show inaccessible or missing evidence as unverified. Physical inspection, current official records, written finance terms, and the final purchase decision remain with people.
07

Try the same approach

  • Open Autobot’s passport, follow its connection instructions, and sign in through OAuth in a supported AI client. Start with a listing link, country and city; add your budget, normal journeys, parking, and charging needs when looking for a vehicle.
  • For your own Agent, start with one equally concrete recurring job. Describe the answer you need, add dependable sources and tools, try real examples, correct failures, and publish when the result is ready to share. Autobot’s story is that repeated process, with a live product at the end.

Solutions

AI agent builder for a product you can own and control

Build one managed Agent, test it with real questions, connect only the knowledge and actions it needs, then publish it privately or make a separate deliberate public-access choice. Prostir provides the hosted address, protected access, and delivery into supported AI clients without making you assemble that product backend first.

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Solutions

Turn the useful demo into an owned Agent

Tell us the job, the people who should use it, the source material it needs, and what it must never do. We will help you map a first Agent release that can be tested honestly.

Build your own specialist AgentSee the solution