WhatsApp AI assistant and admin console

For

Small teams and solo operators who answer questions, create content and run everyday tasks inside WhatsApp

Solves

Everyday questions, content requests and document tasks arrive in WhatsApp, but the assistant tools that handle them are separate subscriptions with no shared history, no admin view and no source trail.

Delivers

Source-linked assistant replies and admin-reviewed outputs

Built in

about 4 weeks of creation time, MVP in 4 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

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

Reduce the number of tools a team rents while keeping one assistant inside the chat channel they already use.

1. Answer questions 24/7 inside WhatsApp.
2. Support multiple languages with translation and conversation.
3. Generate written content such as answers, reports, essays and creative text.
4. Generate images from text prompts.
5. Run web searches and cite the sources used.
6. Research products and gather relevant details.
7. Generate polished professional documents.
8. Analyze and interpret uploaded images.
9. Provide tutoring, quizzes and feedback across subjects.
10. Solve mathematical problems and show the steps.
11. Keep interactions private with end-to-end encryption.
12. Customize visual outputs to user preferences.
13. Keep responses aware of conversation context.
14. Analyze data automatically and generate customizable reports.
15. Track progress and performance in a user-friendly dashboard.
16. Offer customizable templates for recurring projects.
17. Let users upload and interact with documents to extract insights and summaries.
18. Create presentations with customizable themes and slide layouts.
19. Process and analyze video content for creative projects.
20. Compare the reviewed result with the recorded baseline and value assumptions.
21. Capture corrections and named-owner approval before consequential use.
22. Export a versioned source-linked assistant reply with source references and unresolved questions.

Everything these tools do, in one app

• 24/7 availability Provides access to the AI assistant at any time of day.Found in ChatGPT Buddy, Mobile GPT, PopAI
• Multilingual support Allows users to interact in multiple languages, including translation and conversation.Found in ChatGPT Buddy, Mobile GPT, PopAI
• Text generation Generates written content such as answers, reports, essays, and creative text.Found in ChatGPT Buddy, Mobile GPT, PopAI
• Image generation Creates AI-generated images from text prompts.Found in ChatGPT Buddy, Mobile GPT, AiBERT
• Web search Performs web searches to find information online.Found in ChatGPT Buddy
• Product research Helps users research products and gather relevant details.Found in ChatGPT Buddy
• Document generation Creates polished, professional documents with minimal manual errors.Found in Mobile GPT
• Image analysis Analyzes and interprets images to make visual content more accessible.Found in Mobile GPT, PopAI
• Learning assistance Offers tutoring, quizzes, and feedback across various subjects.Found in Mobile GPT
• Mathematical problem-solving Solves mathematical problems and provides instant answers.Found in Mobile GPT
• End-to-end encryption Ensures that user interactions remain private and secure.Found in AiBERT
• Customizable visual generation Allows users to customize visual outputs according to their preferences.Found in AiBERT
• Context-aware responses Provides responses that take into account the context of the conversation.Found in AiBERT
• Automated data analysis Analyzes data automatically and generates customizable reports.Found in Morgan
• User-friendly dashboard Tracks progress and performance through an intuitive dashboard.Found in Morgan
• Customizable templates Offers templates that can be tailored to different project needs.Found in Morgan
• Document interaction Enables users to upload and interact with documents to extract insights and summaries.Found in PopAI
• Presentation creation Generates instant, visually appealing presentations with customizable themes and slide layouts.Found in PopAI
• Video processing Processes and analyzes video content for creative projects.Found in PopAI

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted chat messages, uploaded documents, images and video

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted chat messages

4. 3

   Uploaded documents

5. 4

   Images and video

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Source-linked assistant replies and admin-reviewed outputs

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 WhatsApp Business number and one approved template set; final factual, legal and brand checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: WhatsApp assistant chat, Source and review panel, Administrator console. Use a conversation list for chats, a central message thread with source citations under each reply, and a right-hand panel for linked documents, images, video and review state. Let administrators compare draft and approved replies side by side. Display draft, changes requested and approved states. Provide a console view of usage, templates, progress and export history. Make the task-specific outcome source-linked assistant replies and admin-reviewed outputs visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, chat history, 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

WhatsApp Business messaging, cloud asset storage, document import/export and presentation 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

   4 days

   One buyer segment, one recurring use case; first modules: answer questions 24/7 inside WhatsApp; support multiple languages with translation and conversation. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   5 days

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

4. 4

   Full product

   9 days

   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 small teams and solo operators who answer questions, create content and run everyday tasks inside WhatsApp use it to solve "everyday questions, content requests and document tasks arrive in WhatsApp, but the assistant tools that handle them are separate subscriptions with no shared history, no admin view and no source trail"?
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: Accepted replies per operator hour and corrections after review.
4. Measure, then decide. Track accepted replies per operator hour and corrections after review; 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 WhatsApp Business number and one approved template set; final factual, legal and brand checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: answer questions 24/7 inside WhatsApp; support multiple languages with translation and conversation. Support the remaining modules with operator review: generate written content, images, web searches, product research, documents, image analysis, tutoring, mathematics, encryption, visual customization, context awareness, data analysis, dashboard, templates, document interaction, presentations and video processing. 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 source-linked assistant replies and admin-reviewed outputs. Retain the explicit scope boundary: One WhatsApp Business number and one approved template set; final factual, legal and brand checks remain human.

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 content QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One WhatsApp Business number and one approved template set; final factual, legal and brand checks remain human.

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 assistant package. Offer a monthly production allowance after repeat demand. Quote complex video, presentation or specialist content separately. These are test prices, not market benchmarks. Package the initial sale as one bounded source-linked assistant reply and admin-reviewed output. 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 the number of tools a team rents while keeping one assistant inside the chat channel they already use. Demonstrate a concrete source-linked assistant reply and admin-reviewed output using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small teams and solo operators who answer questions, create content and run everyday tasks inside WhatsApp professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample source-linked assistant reply and admin-reviewed output from a small authorized input set, with a transparent calculation of accepted replies per operator hour and corrections after review and no promised savings.

The first 30 days

1. Week 1: interview five small teams and solo operators who answer questions, create content and run everyday tasks inside WhatsApp and inspect a recent example of everyday questions, content requests and document tasks arriving in WhatsApp with separate subscriptions and no shared history.
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 accepted replies per operator hour and corrections after review, 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: Accepted replies per operator hour and corrections after review. 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

Accepted replies per operator hour and corrections after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs source-linked assistant replies and admin-reviewed outputs. 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 reply styles, templates and review examples, together with reliable delivery for a narrow support niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for small teams and solo operators who answer questions, create content and run everyday tasks inside WhatsApp. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

ChatGPT Buddy, Mobile GPT, AiBERT, Morgan and PopAI. Compare this product with the buyer's present method on accepted replies per operator hour and corrections after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, image and video 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 source-linked assistant replies and admin-reviewed outputs. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Named owners approve substantive changes and external publication scope. One WhatsApp Business number and one approved template set; final factual, legal and brand checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.