Agentic task automation and device control portal

For

IT and operations teams that automate repetitive tasks and control devices or generate deliverables

Solves

Repetitive multi-step tasks, device management and deliverable production are split across separate tools, manual effort and disconnected scripts.

Delivers

Reviewed task runs, device actions and generated deliverables

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce manual effort and tool sprawl while keeping control of devices and deliverables.

1. Automate repetitive or multi-step tasks.
2. Control the tool with everyday language.
3. Manage devices from a remote location.
4. Navigate apps, tap buttons, fill forms and scroll automatically.
5. Run command-line scripts and commands like bash, Python, git and curl.
6. Connect to local and cloud language models.
7. Use built-in tools for Home Assistant, Notion, Contacts, SMS and Health Connect.
8. Activate by hands-free wake word.
9. Apply safety modes that limit actions.
10. Generate websites, reports, presentations, documents and spreadsheets.
11. Complete tasks without programming knowledge.
12. Handle multi-step projects.
13. Price by completed task rather than usage credits or tokens.
14. Complete projects in minutes rather than weeks.
15. Support a wide range of Android versions and devices.
16. Integrate with existing development workflows and tools.
17. Simplify setup and operation for users of all skill levels.
18. Operate as a self-contained hardware device without needing other devices.

Everything these tools do, in one app

• Task automation Automates repetitive or multi-step tasks to reduce manual effort.Found in Rabbit Android Agent, Gotcha, rabbit intern
• Natural language control Allows users to control the tool using everyday language.Found in Gotcha, rabbit intern
• Remote device management Enables control and management of devices from a remote location.Found in Rabbit Android Agent
• UI automation Automatically navigates apps, taps buttons, fills forms, and scrolls.Found in Gotcha
• Terminal access Runs command-line scripts and commands like bash, Python, git, and curl.Found in Gotcha
• Local and cloud LLM support Connects to both local and cloud-based language models for AI processing.Found in Gotcha
• Native device integrations Provides built-in tools for services like Home Assistant, Notion, Contacts, SMS, and Health Connect.Found in Gotcha
• Hands-free wake word Activates the tool using a voice command without touching the device.Found in Gotcha
• Safety modes Offers different safety configurations to control the tool's actions.Found in Gotcha
• Multi-format output generation Produces deliverables such as websites, reports, presentations, documents, and spreadsheets.Found in rabbit intern
• No coding required Allows users to complete tasks without programming knowledge.Found in rabbit intern
• Multi-step project handling Manages complex projects that involve multiple steps.Found in rabbit intern
• Task-based pricing Charges based on completed tasks rather than usage credits or tokens.Found in rabbit intern
• Quick turnaround Completes projects in minutes rather than weeks.Found in rabbit intern
• Broad Android compatibility Supports a wide range of Android versions and devices.Found in Rabbit Android Agent
• Development tool integration Integrates with existing development workflows and tools.Found in Rabbit Android Agent
• User-friendly interface Simplifies setup and operation for users of all skill levels.Found in Rabbit Android Agent
• Standalone device Operates as a self-contained hardware device without needing other devices.Found in Rabbit r1

What goes in, what comes out

The workflow

1. In
   Start with

   Task descriptions, device inventories, approved scripts and deliverable templates

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect task descriptions

4. 3

   Device inventories

5. 4

   Approved scripts and deliverable templates

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed task runs, device actions and generated deliverables

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved device fleet and licensed script set; final device actions and deliverable checks remain operator. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Task and device registry, Editable run preview, Deliverable and action review. Use a thumbnail gallery for tasks and devices, a large central run canvas, and a right-hand panel for inputs, constraints and comments. Let users compare run versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant task step or deliverable. Make the task-specific outcome reviewed task runs, device actions and generated deliverables visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Author-owned task descriptions, authorized device inventories and permitted scripts. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: automate repetitive or multi-step tasks; control the tool with everyday language. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will IT and operations teams that automate repetitive tasks and control devices or generate deliverables use it to solve "repetitive multi-step tasks, device management and deliverable production are split across separate tools, manual effort and disconnected scripts"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Completed tasks per operator hour and rework after approval.
4. Measure, then decide. Track completed tasks per operator hour and rework after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved device fleet and licensed script set; final device actions and deliverable checks remain operator. Implement one approved input format, a bounded representative case set and the first two task modules: automate repetitive or multi-step tasks; control the tool with everyday language. Support the third module with operator review: manage devices from a remote location. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed task runs, device actions and generated deliverables. Retain the explicit scope boundary: One approved device fleet and licensed script set; final device actions and deliverable checks remain operator.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved device fleet and licensed script set; final device actions and deliverable checks remain operator.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined task package. Offer a monthly production allowance after repeat demand. Quote complex device fleets or specialist deliverables separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed task runs, device actions and generated deliverables. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce manual effort and tool sprawl while keeping control of devices and deliverables. Demonstrate a concrete reviewed task runs, device actions and generated deliverables using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

IT and operations teams that automate repetitive tasks and control devices or generate deliverables professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed task runs, device actions and generated deliverables from a small authorized input set, with a transparent calculation of completed tasks per operator hour and rework after approval and no promised savings.

The first 30 days

1. Week 1: interview five IT and operations teams that automate repetitive tasks and control devices or generate deliverables and inspect a recent example of repetitive multi-step tasks, device management and deliverable production are split across separate tools, manual effort and disconnected scripts.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure completed tasks per operator hour and rework after approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Completed tasks per operator hour and rework after approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Completed tasks per operator hour and rework after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed task runs, device actions and generated deliverables. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved task patterns, device configurations and review examples, together with reliable delivery for a narrow IT and operations niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for IT and operations teams that automate repetitive tasks and control devices or generate deliverables. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Rabbit Android Agent, Rabbit r1, Gotcha and rabbit intern. Compare this product with the buyer's present method on completed tasks per operator hour and rework after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, device or script processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed task runs, device actions and generated deliverables. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve operator intent, source attribution, script accuracy and usage permissions. Operators approve substantive changes and device action scope. One approved device fleet and licensed script set; final device actions and deliverable checks remain operator. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.