FlexShark guide

Amazon Flex Automation Guide for Controlled Block Search

Learn how Amazon Flex automation works in FlexShark with schedules, filters, start-stop control, accepted block review, and billing visibility.

Amazon Flex automation is most useful when it is controlled. A driver does not need a bot that accepts every block. A driver needs a workflow that searches quickly, applies clear rules, and makes it easy to review what happened afterward.

FlexShark is built around that controlled approach. It combines Amazon Flex bot controls, schedule windows, block filters, calendar review, and recent searched block feedback in one web app.

What Amazon Flex automation should control

Good automation should not replace your driving strategy. It should follow it.

The most important controls are station selection, minimum amount, minimum pay rate, block duration, arrival time, day rules, and search schedule. These settings decide when FlexShark can search and which blocks are eligible for auto accept.

If your rules are too broad, automation can waste time on blocks you would not want manually. If your rules are too narrow, the bot may miss opportunities. The best setup usually starts focused, then changes based on real search results.

Schedule windows matter

Search schedule is separate from filter rules. Schedule controls when automation may run. Filters control what automation may accept.

For example, a driver may allow FlexShark to search from 5:00 pm to 9:00 pm but accept only blocks from selected stations, above a minimum pay rate, and within a maximum duration. This separation keeps the bot predictable.

Why feedback improves results

Recent searched blocks show whether blocks were accepted, missed, rejected, or forfeited. That history is useful because it shows where filters are too strict or too loose.

If many blocks are rejected because pay is too low, the filter is doing its job. If many strong blocks are missed, the driver may need to review schedule timing, station coverage, or minimum arrival rules.

Demo and billing visibility

FlexShark also surfaces access state before automation runs. New users can start with demo access, and blocks accepted during the active demo period are not billed. After demo access ends, users need a valid payment method and no unpaid invoice hold to continue.

A practical setup checklist

Start with the Amazon Flex bot setup guide, then review:

- Link Amazon Flex before starting automation.

- Create at least one active filter.

- Confirm schedule windows match when you want search to run.

- Use the dashboard Start/Stop control intentionally.

- Review recent searched blocks and calendar results regularly.

Bottom line

Amazon Flex automation works best when it is targeted. FlexShark focuses on scheduled search, filter-based acceptance, and clear feedback so drivers can tune their strategy instead of running a vague always-on bot.