Full version · decisions

Courier Assistant — a decision layer in field testing

When the platform offers an order, you have seconds. Assistant is being tested to detect the visible facts, show what it has actually read, and progressively add a recommendation that remains under the courier's control.

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What the field test is working toward

  • Clear display of the offer facts it can detect
  • Personal time-and-distance context, once enough history exists
  • Warnings when a proposed action conflicts with active work
  • Transparent confidence: the courier can see facts separately from an evaluation

Two couriers — same offer, different answers

A 4 km order can be different for two couriers because their speed, local knowledge and current commitments differ. The Assistant goal is to make those differences visible from the courier's own history — but an uncertain reading must remain visibly uncertain.

Without Assistant

You guess

Evaluating offers by eye: looks close, seems to pay well, it's peak time — I'll take it. A month later you can't remember why you earned less.

With Assistant

You see what was detected

The floater should first show the exact facts it read. Recommendations are added only when the required facts and confidence are sufficient.

Combining two platforms — without conflicts

Working across platforms can create more options, but it also creates conflicts, safety risks and timing pressure. Any decision support must respect active commitments and the courier's own judgement.

Cross-platform

One yardstick for both

The long-term goal is to compare detected offer facts in one courier-controlled view. A map line alone is not a bicycle route and will not be presented as one.

Context

Conflict or correlate?

The Assistant is being designed to flag possible conflicts between active work and a new offer. The courier retains the final accept or decline decision.

Accountability

Chats kept tidy

Tools for finding and analysing a courier's imported conversation history are planned. They are not yet a public product promise.

Note: when working across multiple platforms, know their rules on simultaneous work — platforms apply their own sanctions for violations.

Logger → Assistant: if you already collect statistics with Logger, your history instantly becomes Assistant's “brain”. Logger teaches — Assistant guides.