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AI AUTOMATION · FROM ONE SUCCESS TO A STABLE RUN

Want AI to run automatically? Start with one repeated task you can inspect and recover.

Automation is not handing one sentence to an agent and walking away. A useful workflow defines its trigger, sources, output, approval points, and where to resume after failure.

See what you should get first
Official Aye store image showing AI planning steps, operating pages, checking results, and asking before risk
MAKER UI · THIS AUTOMATION WAS NOT RUN BY BITSHOVEL

SEE THE FINISH LINE FIRST

Test with one daily result whose quality you can judge

INPUT

Five fixed public sources

Do not begin with your primary inbox, payment account, or confidential material.

OUTPUT

A change brief with original links

Mark each item as new, duplicate, conflicting, or still unknown.

PAUSE

Before send, publish, pay, or delete

Return a proposal for review instead of changing external state.

NOT MAGIC · A PATH YOU CAN INSPECT

A stable workflow makes these six states visible

If one step is unclear, pause there instead of hiding the problem under more generations.

  1. 1

    Trigger

    Schedule, new file, or manual start

  2. 2

    Read

    Only the material needed

  3. 3

    Decide

    Separate rules from AI judgment

  4. 4

    Return

    File, list, or reviewable draft

  5. 5

    Approve

    Humans decide consequential actions

  6. 6

    Recover

    Record failure and resume safely

WHAT A GOOD FRIEND WOULD FLAG EARLY

Think through these three failures before turning it on

Too much access

Reading a page does not justify access to every signed-in page. Drafting email does not justify sending it.

Looks done, actually stuck

Network, sign-in, page changes, and quotas interrupt runs. Without state, logs, and alerts, you only know that nothing happened.

Automating the wrong routine

Complete the same task manually or semi-automatically three times, then keep the stable parts. Do not force a constantly changing judgment into a fixed flow.

START HERE TODAY

Choose the entry point by task—not by maximum power

NO TOOL SWITCH · VALIDATE THE TASK FIRST

SIMPLE SCHEDULE OR TRANSFER

Your current AI + a fixed source list

Prefer rules, templates, and schedules already in your tools. You may not need an agent.

BRING
Five public sources, one fixed output format, and three manual runs
DONE MEANS
Three runs return a change brief with original links
STOP WHEN
If the brief keeps changing after three runs, the task is not stable enough to automate
Get the manual research result right first
FIRST-PARTY SOURCES CHECKED · NOT INSTALLED BY US

READ, THEN DECIDE

Aye · browser task agent with visible steps

Use a workflow tool with run history, approval, and failure alerts. Start read-only.

BRING
Mac or Windows, low-sensitivity public pages, and supervision of the first run
DONE MEANS
The plan, current step, returned result, and approval point stay visible
STOP WHEN
Do not expand access when sensitive accounts or unclear data paths are involved
See what fits and what remains untested
GITHUB PROJECT · FOR USERS WITH TECHNICAL SUPPORT

OPERATE REAL PAGES OR SYSTEMS

Heym · open-source workflows with human approval

Begin with a test account and no-write environment. Expand only after checking access, targets, and recovery.

BRING
Local deployment, test accounts, permission design, logs, and recovery
DONE MEANS
Failures are visible and reruns do not duplicate sends or real-data changes
STOP WHEN
Do not connect production accounts without a test environment, backup, and approval gate
Inspect the open-source flow and approval boundary

WHY WE FRAMED IT THIS WAY

Inspect the public primary material before investing.

These maker pages show how automation is being productized. BitShovel does not claim that these flows have run safely in real accounts.

ONE-TAP FEEDBACK

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One tap. No writing required.

Want AI to run automatically? Start with one repeated task you can inspect and recover. — BitShovel