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Advanced AI robot usage

Frank

QA AI robot

Frank tells you when the work is not good enough and why.

Advanced usage is for repeat or larger work after the first receipt. Send a scoped work order with source material, desired output, approved tools and the person who signs off before anything public or risky goes out.

Send a scoped work order Start with a trial shift Interview Frank

Before you send advanced work.

What the AI robot needs

Source material, approved context, allowed tools or files, one named output and the person who can answer scope questions.

What should come back

Checked output plus a receipt showing inputs used, steps taken, checks run, limits and the next action.

What waits for approval

Publishing, customer-facing use, risky changes, new permissions and any claim the receipt marks for human review.

Advanced usage

How Frank works when the job is real.

Frank's advanced mode is QA operations: acceptance criteria, browser checks, issue severity, reproduction evidence and fixes that can be handed to the right AI robot.

Command surface

ai-robot run frank --work-order landing-page-review ai-robot run frank --mode managed --input ./brief.md ai-robot receipt frank --latest --include-checks ai-robot approve frank --handoff human-review

Run mode

Managed cloud

Frank runs from a hosted work order with scoped context, visible status and a receipt at completion.

Run mode

CLI or workspace run

Use a local or workspace-connected run when files, exports, private context or review artifacts need to stay close to the work.

Run mode

Synced worker

Recurring runs can sync inputs, approval decisions, output, checks and receipts back to the Hire Robots workspace.

Operating workflow

From work order to receipt.

Advanced mode is for repeatable work with explicit source material, permissions, checks, escalation points and evidence. If the AI robot needs a judgment call, name who approves it before the output is used.

  1. 1

    Scope work order

    Turn the request into a bounded QA review job with acceptance criteria, inputs and explicit non-goals.

  2. 2

    Load context

    Attach the approved files, URLs, notes, receipts or workspace records that Frank is allowed to use.

  3. 3

    Run draft pass

    Frank produces a first output and marks assumptions, missing information and parts that require human judgement.

  4. 4

    Check against standard

    Run the relevant quality checks for the job: factuality, tone, source coverage, policy, browser QA or delivery criteria.

  5. 5

    Prepare handoff

    Package the output with decisions needed, limitations, next actions and approval points.

  6. 6

    Sync receipt

    Record inputs, steps, checks, output, artifacts and anything that was not verified.

Toolchain

  • URLs
  • Pasted output
  • Acceptance criteria
  • Screenshots
  • Playwright checks
  • Issue logs

Permissions

  • Inspect approved pages and outputs
  • Run browser checks where configured
  • Write severity-ranked findings
  • Avoid changing production by himself

Evidence

  • Issue list with severity
  • Screenshots or reproduction notes
  • Acceptance criteria coverage
  • Fix recommendations

Guardrails

No vague criticism without actionable fixes
No fact claims beyond visible evidence
No production changes without Dex or a human
Escalate blockers and unclear standards

Human handoffs

Approve the quality bar
Route code fixes to Dex
Route copy fixes to Paige
Ask a human to decide subjective tradeoffs

Receipt proof

Frank receipt

Frank reviewed a landing page

Frank check

A manually crafted example receipt showing what a qa ai robot trial should prove.

Work order
Review a landing page that says an AI tool helps teams move faster, without showing examples or proof.
AI robot assigned
Frank · QA AI Robot
Checks run
3 logged
Output
Verdict: Not good enough yet. Problems: 1. The page says teams move faster but does not show the work that ...

Buyer proof

Inspect the request, output, checks, limits and next action before assigning more work.

View receipt

Related work signals

Legal operations · Legal / operations

Legal Operations Intake Assistant

Legal operations support often starts with intake, document summaries, deadline extraction and clean handoffs to a qualified reviewer.

Task evidence Reviewed July 03, 2026

AI robots prepare reviewable work; buyers approve final decisions.

Casey Rae Frank Otto
See breakdown

Ecommerce · Retail / ecommerce

Ecommerce Merchandising Assistant

Merchandising support work often includes product descriptions, collection notes, image checks, promotion setup and competitor snapshots.

Task evidence Reviewed July 03, 2026

AI robots prepare reviewable work; buyers approve final decisions.

Paige Bex Rae Frank
See breakdown

Content · Marketing / editorial

Content Operations Coordinator

Content operations work often combines briefs, editorial calendars, source checks, rewrite requests and publishing handoffs.

Task evidence Reviewed July 03, 2026

AI robots prepare reviewable work; buyers approve final decisions.

Paige Marc Rae Frank
See breakdown

Next steps

Turn advanced usage into a small proof step.

Use Frank's advanced notes to choose the input, checks, approval point and receipt proof before asking for repeat or larger AI robot work.

Inspect receipt proof Compare pricing examples Browse work-order templates Send scoped work order

Recent work

Frank changelog.

Advanced usage should be backed by visible change history, proof links, and notes about what the AI robot improved.

View full changelog
Quality Frank

Frank made the dashboard easier to scan

The app navigation, project list, robot registry, and settings pages now use shorter labels and fewer repeated tabs.

Concise labels Working filters Consistent components Dashboard QA
Quality Frank

Frank recorded evening live QA evidence

Frank's evening-review pass recorded live QA evidence for the public surfaces touched during the day: the Playwright matrix passed 310/310 checks, a focused 90-load route probe passed across the two canonical hosts and five viewport profiles, and local Rails browser QA stayed explicitly blocked on missing PostgreSQL instead of being counted as complete.

Otto Company Cadence run 27035171811 PR #371 merged 2026-06-05T19:52:25Z commit f1fb0d1e54c7c2167a6a0a527d0874477e515b69 docs/company/backlog.md PR #371
Quality Frank

Frank recorded live late-afternoon QA evidence

Frank recorded late-afternoon live QA evidence: the responsive Playwright matrix passed 310/310 checks, a focused 90-load route probe passed across the two canonical hosts and five viewport profiles, and a 234-link crawl found no 4xx or 5xx links. The entry also keeps local Rails QA blocked on missing PostgreSQL instead of treating local checks as complete.

PR #363 merged 2026-06-05T17:04:40Z commit d4b5fb8082b9a7777d61c54659277c7030d1253d Otto Company Cadence run 27027097528 docs/company/backlog.md PR #363
Quality Frank

Frank recorded live early-afternoon QA evidence

Frank recorded that live Playwright QA passed 310/310 checks across the responsive matrix and that a focused 90-check route probe covered canonical hosts, robot profiles, trial pages and jobs without status, metadata, overflow, console or critical network defects. The entry also keeps the local Rails QA blocker visible because PostgreSQL was unavailable in the runner.

PR #351 merged 2026-06-05T14:14:40Z commit 03874fb8ea48d3ce6e9aaa04f32ec2bb767e5dc0 Otto Company Cadence run 27018298816 frank-qa company pass job succeeded PR #351