Unified team workspace and tab control portal

For

Small software and operations teams that coordinate work, conversations and browser research in one place

Solves

Work, chat, meetings, documents and open browser tabs sit in separate subscriptions, so context is lost and teams pay for overlapping tools.

Delivers

Reviewed tasks, summaries and shared tab lists linked to named owners

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

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

Reduce tool sprawl and lost context while keeping team conversations, tasks and research tabs in one owned workspace.

1. Co-edit documents, sheets and boards in real time.
2. Keep team chat beside tasks, files and meetings.
3. Start video calls from a channel or task.
4. Report and track bugs and technical debt in the same workspace.
5. Create and assign tasks automatically from project inputs.
6. Track progress and send deadline reminders.
7. Suggest priorities and flag risks for review.
8. Build customizable dashboards for project metrics.
9. Check documents for accuracy and trust with AI.
10. Automate application intake and screening steps.
11. Protect sensitive personal and financial data.
12. Consolidate open browser tabs into one saved list.
13. Restore tabs individually or all at once.
14. Share tab lists by URL.
15. Lock tabs to prevent accidental closing.
16. Connect multiple AI models in one workspace.
17. Summarize videos, audio and recordings.
18. Search files and past discussions across channels.
19. Co-author spreadsheets inside chat.
20. Give guests scoped channel access.
21. Add live captions, sign language mode and availability checks to meetings.
22. Build no-code automations and connect external AI agents.
23. Support mind maps, flow charts and diagrams.
24. Work from any device or operating system.
25. Start from pre-built templates.
26. Generate articles, summaries and reports from natural language input.
27. Check grammar and style.
28. Support multiple languages.

Everything these tools do, in one app

• Real-time collaboration Lets multiple people work together on the same content or project at the same time.Found in Boardmix, BloxGPT
• Integrated messaging Keeps team conversations in the same place as other work tools.Found in Wallow - Slack for makers, Zoho Cliq 7.0
• Video calls Allows teams to have face-to-face meetings without leaving the platform.Found in Wallow - Slack for makers, Zoho Cliq 7.0
• Issue reporting Lets users report and track problems like bugs or technical debt directly in the tool.Found in Wallow - Slack for makers
• Task automation Automatically creates and assigns tasks based on project inputs.Found in Huudle AI Project Assistant
• Progress tracking Shows how work is advancing and sends reminders about deadlines.Found in Huudle AI Project Assistant
• AI suggestions Provides AI-generated recommendations for prioritizing work and spotting risks.Found in Huudle AI Project Assistant
• Customizable dashboards Lets teams set up views to monitor project metrics and performance.Found in Huudle AI Project Assistant
• Document verification Uses AI to check documents for accuracy and trust.Found in Swatle
• Application processing Automates the handling of rental applications to speed up screening.Found in Swatle
• Secure data handling Protects sensitive personal and financial information.Found in Swatle
• Tab consolidation Combines all open browser tabs into a single list to save memory and reduce clutter.Found in Onetab
• Tab restore Allows users to bring back tabs individually or all at once from a saved list.Found in Onetab
• Tab list sharing Enables sharing of tab lists via URLs for collaboration or later use.Found in Onetab
• Tab locking Prevents tabs from being accidentally closed.Found in Onetab
• Multi-vendor AI Lets users bring different AI models like Claude, ChatGPT, or Gemini into the workspace.Found in Zoho Cliq 7.0
• Multimedia summaries Generates summaries for videos, audio, and recordings.Found in Zoho Cliq 7.0
• Advanced search Helps locate files and past discussions within channels.Found in Zoho Cliq 7.0
• Collaborative sheets Allows co-authoring of spreadsheets directly inside chat.Found in Zoho Cliq 7.0
• Guest access Lets external clients and partners join via scoped channel access.Found in Zoho Cliq 7.0
• Inclusive meetings Includes live captions, sign language mode, and availability checks.Found in Zoho Cliq 7.0
• No-code automation Provides drag-and-drop tools to build automations and connect external AI agents.Found in Zoho Cliq 7.0
• Multiple collaboration formats Supports mind maps, flow charts, and diagrams for visual work.Found in Boardmix
• Cross-platform access Allows users to work from any device or operating system.Found in Boardmix
• Pre-built templates Provides ready-made templates to quickly start projects and organize ideas.Found in Boardmix, BloxGPT
• Natural language generation Creates articles, summaries, and reports from natural language input.Found in BloxGPT
• Grammar and style checking Checks text for grammar and style issues to improve quality.Found in BloxGPT
• Multi-language support Supports users in multiple languages.Found in BloxGPT

What goes in, what comes out

The workflow

1. In
   Start with

   Team messages, project inputs, documents, browser tab lists and meeting recordings

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect team messages

4. 3

   Project inputs

5. 4

   Documents

6. 5

   Browser tab lists and meeting recordings

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Reviewed tasks, summaries and shared tab lists linked to named owners

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 workspace configuration and a fixed set of connected AI models; final task assignment, document approval and application decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Workspace home and channels, Project board and dashboards, Tab manager and shared lists, Document and application review, Meetings and recordings. Use a left rail for channels and projects, a central work canvas for boards, sheets and documents, and a right panel for AI suggestions, tasks and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a guest preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewed tasks, summaries and shared tab lists linked to named owners visible beside its evidence, review state and value baseline.

Accounts and administration

Workspace ownership, channel and project membership, guest scopes, asset versions, approval states, AI model connections, automation limits, tab list 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

Team-owned messages, project files, documents, browser tab lists and meeting recordings. Cloud storage, calendar, identity provider and code repository connections. 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: co-edit documents, sheets and boards in real time; keep team chat beside tasks, files and meetings. 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 small software and operations teams that coordinate work, conversations and browser research in one place use it to solve "work, chat, meetings, documents and open browser tabs sit in separate subscriptions, so context is lost and teams pay for overlapping tools"?
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: Active workspace users per week and tasks completed without tool switching.
4. Measure, then decide. Track active workspace users per week and tasks completed without tool switching; 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 workspace configuration and a fixed set of connected AI models; final task assignment, document approval and application decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: co-edit documents, sheets and boards in real time; keep team chat beside tasks, files and meetings. Support the third module with operator review: start video calls from a channel or task. 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 tasks, summaries and shared tab lists linked to named owners. Retain the explicit scope boundary: One approved workspace configuration and a fixed set of connected AI models; final task assignment, document approval and application decisions 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 operations QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved workspace configuration and a fixed set of connected AI models; final task assignment, document approval and application decisions 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 workspace package. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist compliance separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed tasks, summaries and shared tab lists linked to named owners. 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 tool sprawl and lost context while keeping team conversations, tasks and research tabs in one owned workspace. Demonstrate a concrete reviewed tasks, summaries and shared tab lists linked to named owners using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small software and operations teams that coordinate work, conversations and browser research in one place professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed tasks, summaries and shared tab lists linked to named owners from a small authorized input set, with a transparent calculation of active workspace users per week and tasks completed without tool switching and no promised savings.

The first 30 days

1. Week 1: interview five small software and operations teams that coordinate work, conversations and browser research in one place and inspect a recent example of work, chat, meetings, documents and open browser tabs sit in separate subscriptions, so context is lost and teams pay for overlapping tools.
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 active workspace users per week and tasks completed without tool switching, 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: Active workspace users per week and tasks completed without tool switching. 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

Active workspace users per week and tasks completed without tool switching; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed tasks, summaries and shared tab lists linked to named owners. 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 workspace configurations, automation templates and review examples, together with reliable delivery for a narrow team-operations niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for small software and operations teams that coordinate work, conversations and browser research in one place. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Onetab, Huudle AI Project Assistant, Swatle, Wallow - Slack for makers, Zoho Cliq 7.0, Boardmix and BloxGPT. Compare this product with the buyer's present method on active workspace users per week and tasks completed without tool switching. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, video and audio 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 tasks, summaries and shared tab lists linked to named owners. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve team voice, source attribution, document accuracy and usage permissions. Named owners approve substantive changes and external sharing scope. One approved workspace configuration and a fixed set of connected AI models; final task assignment, document approval and application decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.