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Powered by OnTask.AI

The AI supervisor layer for remote work.

OnTask.AI is the operating layer behind GigAnywhere's proof-of-work platform. It runs sessions, summarizes activity, flags exceptions, and produces the record that makes remote engagements trustable.

What OnTask adds

Five capabilities you don't get from a marketplace alone.

Browser-based work sessions

No heavy desktop agents. Sessions run in the browser, with a visible indicator and worker-controlled start/stop.

AI supervisor

Plain-language session summaries that surface what got done, what got skipped, and what to review.

Continuous identity

Optional. For Verified engagements, OnTask confirms the worker is the person who was hired — without recording private content.

Schedules & shifts

For ongoing work, set expected schedule windows. OnTask records adherence without policing breaks.

Exception detection

Idle work, off-process behavior, schedule drift, missed checklist steps — all surfaced with context, not raw data.

Exportable record

PDF + CSV exports per engagement, suitable for sharing with internal stakeholders or your own clients.

How OnTask works

Configured per job. Run by the platform. Reviewed by humans.

Clients configure OnTask rules in the workspace. Workers see those rules before applying. AI runs the work session. Humans approve the work.

Client configures What counts as on-task, expected tools, expected pace, what to flag.
Worker accepts Proof level and rules are visible. The worker chooses whether to apply.
AI supervises The session runs in the browser. AI summarizes activity, flags exceptions, and produces a clean record.
Human approves The client reviews the summary, approves milestones, and signs off on the engagement.
AI supervisor rule — Property records
# Expected behavior
on_task_domains: [county-records.gov, my-spreadsheet-app]
target_records_per_hour: 35
required_steps_per_record:
  - "Pull deed history"
  - "Record HOA status"
  - "Record lien status"
  - "Confirm parcel ID"

# Flag if
flag_idle_minutes_over: 10
flag_missing_required_step: true
flag_off_task_minutes_over: 5

Rules are part of the workspace. They're visible to the worker before applying.

What gets recorded

By proof level. Plainly stated.

What OnTask records Delivery Only Managed Work Verified Work
Job & workspace definitionYesYesYes
Messages & filesYesYesYes
Milestones & approvalsYesYesYes
Session start/stopNoYesYes
Active task per sessionNoYesYes
AI session summaryNoYesYes
Schedule adherenceNoOptionalYes
Identity verificationNoOptionalYes
Structured activity evidenceNoLimitedYes
Personal time / paused sessionsNoNoNo
AudioNoNoNo
Raw keystrokesNoNoNo
Off-platform activityNoNoNo

Specific Verified Work configurations vary by category. Workers see the exact configuration on the job posting before applying.

Client configuration

Set the rules once. Reuse them everywhere.

Configure AI supervisor rules per workspace, save them as templates, and apply them to every new project of the same type.

What counts as on-task Define the tools, sites, and apps that belong in the workflow.
Required steps The checklist that must be completed for each record, ticket, or task.
Pace expectations Set a target throughput for AI to compare against.
QA sampling Pull a random sample of records for spot-checks.
Flags & ignores Tell the supervisor what matters and what to leave alone.

Rule template — “County records v3”

  • On-task county-records.gov, internal spreadsheet, shared drive
  • Target pace 35 records per hour
  • Required steps Deed · HOA · Lien · Parcel ID
  • QA sampling 5% of records, random
  • Flag if idle > 10m · off-task > 5m · step missing
  • Ignore short pauses · personal time mode
Best fits for OnTask

Where AI-assisted supervision matters most.

Back-office processing

Document review, order processing, data entry, CRM cleanup.

Customer support shifts

Schedule adherence, ticket QA, escalation review.

Web research

Per-record completeness checks, source citation, QA sampling.

Real estate & title

Identity verification, audit-grade records, document collection.

QA review & moderation

Decision logs, sample audits, calibration sessions.

Agency production

Client-facing work records, scaled fulfillment, white-label reporting.

Built for transparent remote work.

OnTask was designed around consent, proportionality, and human review. It produces a record both sides can use — not a tool to police people.

Proof-of-work platform Trust & Safety