Team project coordination and communication portal

For

Team leads and operations managers running multi-person projects with distributed contributors

Solves

Task assignment, document collaboration, chat, progress reporting and AI assistants sit in separate subscriptions, so context and accountability fragment across tools.

Delivers

Reviewed task-and-progress record linked to named owners

Built in

about 4 weeks of creation time, MVP in 5 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 coordination overhead while keeping task ownership and project records in one place.

1. Match team members to tasks by skills and availability.
2. Let multiple people edit documents and share ideas at the same time.
3. Provide built-in chat and video for team communication.
4. Track project progress and generate schedule reports.
5. Adjust workflows to fit different project structures.
6. Keep the interface simple for new users.
7. Offer a no-cost tier for small teams.
8. Support limited offline work with later sync.
9. Handle real-time update delays during high-traffic periods.
10. Keep conversations and context intact across restarts, disconnects and redeploys.
11. Connect Slack, Teams and Telegram without bot tokens or webhook setup.
12. Handle authentication once per app for GitHub, HubSpot, Zendesk and Jira.
13. Let the AI agent ask onboarding questions and write its own configuration record.
14. Run scheduled jobs, email, dashboard, browser automation, voice and calendar tasks.
15. Bill by tools used, with inference metered separately and only successful actions charged.
16. Use a shared workspace wallet for spending.
17. Create configurable AI specialists with defined roles and persistent memory.
18. Show source attribution and step-by-step reasoning.
19. Let users question reasoning, redo steps and jump in mid-process.
20. Retain workflow habits and preferences inside a specialist.

Everything these tools do, in one app

• AI task assignment Automatically matches team members to tasks based on their skills and availability.Found in TeamCreate
• Real-time document editing Lets multiple people edit documents and share ideas together at the same time.Found in TeamCreate
• Integrated chat and video Provides built-in chat and video conferencing for team communication.Found in TeamCreate
• Automated progress tracking Tracks project progress and generates reports to help keep work on schedule.Found in TeamCreate
• Customizable workflows Allows teams to adjust workflows to fit different project needs and structures.Found in TeamCreate
• Intuitive interface Offers a user-friendly design that reduces the learning curve for new users.Found in TeamCreate
• Free basic plan Provides a no-cost tier suitable for small teams and startups.Found in TeamCreate, MorphMind: A Steerable AI Platform
• Limited offline functionality Has restricted offline capabilities, which may affect teams with unstable internet connections.Found in TeamCreate
• Real-time update delays May experience occasional delays in real-time updates during high-traffic periods.Found in TeamCreate
• Persistent memory Keeps conversations and context intact across restarts, disconnects, and redeploys.Found in MakersClaw, MorphMind: A Steerable AI Platform
• One-click messaging integration Connects to Slack, Teams, and Telegram without needing bot tokens or webhook configuration.Found in MakersClaw
• Hosted OAuth layer Handles authentication once per app so all AI employees can use integrations like GitHub, HubSpot, Zendesk, and Jira.Found in MakersClaw
• Chat-driven onboarding Lets the AI agent ask questions and write its own configuration record, similar to a remote hire interview.Found in MakersClaw
• Multiple runtimes Supports different runtime environments with features like email, cron scheduling, web dashboard, browser automation, voice, and CalDAV.Found in MakersClaw
• Usage-based billing Charges based on the tools the agent uses, with inference metered separately and only successful actions billed.Found in MakersClaw
• Shared wallet Uses a shared workspace wallet for spending, without per-employee spending caps.Found in MakersClaw
• Configurable AI specialists Allows creation of AI agents with defined roles and persistent memory for repeated use across projects.Found in MorphMind: A Steerable AI Platform
• Traceable reasoning Provides source attribution and step-by-step reasoning so users can inspect how answers were produced.Found in MorphMind: A Steerable AI Platform
• Interactive controls Enables users to question reasoning, redo specific steps, and jump in mid-process.Found in MorphMind: A Steerable AI Platform
• Workflow habit retention Retains workflow habits and preferences inside a specialist to reduce repeated setup.Found in MorphMind: A Steerable AI Platform

What goes in, what comes out

The workflow

1. In
   Start with

   Team skills, availability, project plans, documents, chat history and workflow rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect team skills

4. 3

   Availability

5. 4

   Project plans

6. 5

   Documents

7. 6

   Chat history and workflow rules

8. 7

   Then follow this sequence: 1

9. Out
   Finish with

   Reviewed task-and-progress record linked to named owners

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured task assignments and generate candidate progress summaries 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 fixed project template and permissioned integration set; final task assignment and performance judgments remain managerial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Team and skills setup, Project workspace, Review and reporting. Use a project list with status badges, a central board and document canvas, and a right-hand panel for chat, task details and AI suggestions. Let users compare plan versions side by side. Display proposed, assigned, in progress and approved states. Provide a client or stakeholder preview link with comments anchored to the relevant task or document. Make the task-specific outcome a reviewed task-and-progress record linked to named owners visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, member roles, document versions, chat retention, approval states, integration permissions, usage allowances, billing records 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 project files, authorized chat exports and permitted calendar sources. Cloud document storage, Slack, Teams, Telegram, GitHub, HubSpot, Zendesk and Jira. 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

   5 days

   One buyer segment, one recurring use case; first modules: match team members to tasks by skills and availability; let multiple people edit documents and share ideas at the same time. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

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

4. 4

   Full product

   2 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 team leads and operations managers running multi-person projects with distributed contributors use it to solve "task assignment, document collaboration, chat, progress reporting and AI assistants sit in separate subscriptions, so context and accountability fragment across 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: Tasks completed on schedule per coordination hour and rework after handoff.
4. Measure, then decide. Track tasks completed on schedule per coordination hour and rework after handoff; 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 fixed project template and permissioned integration set; final task assignment and performance judgments remain managerial. Implement one approved input format, a bounded representative case set and the first two task modules: match team members to tasks by skills and availability; let multiple people edit documents and share ideas at the same time. Support the third module with operator review: provide built-in chat and video for team communication. 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 a reviewed task-and-progress record linked to named owners. Retain the explicit scope boundary: One fixed project template and permissioned integration set; final task assignment and performance judgments remain managerial.

What the build depends on. Member upload and preview, asynchronous job processing, editable version history, reviewer access and tested export formats. High-fidelity coordination requires managerial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed project template and permissioned integration set; final task assignment and performance judgments remain managerial.

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 project package. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist workflows separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed task-and-progress record 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 coordination overhead while keeping task ownership and project records in one place. Demonstrate a concrete reviewed task-and-progress record linked to named owners using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Team leads and operations managers running multi-person projects with distributed contributors professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample task-and-progress record linked to named owners from a small authorized input set, with a transparent calculation of tasks completed on schedule per coordination hour and rework after handoff and no promised savings.

The first 30 days

1. Week 1: interview five team leads and operations managers running multi-person projects with distributed contributors and inspect a recent example of task assignment, document collaboration, chat, progress reporting and AI assistants sitting in separate subscriptions.
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 tasks completed on schedule per coordination hour and rework after handoff, 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: Tasks completed on schedule per coordination hour and rework after handoff. 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

Tasks completed on schedule per coordination hour and rework after handoff; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed task-and-progress record 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 project templates, workflow rules and review examples, together with reliable delivery for a narrow management niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for team leads and operations managers running multi-person projects with distributed contributors. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

TeamCreate, MakersClaw, MorphMind: A Steerable AI Platform, freelancers, generic project tools and separate chat applications. Compare this product with the buyer's present method on tasks completed on schedule per coordination hour and rework after handoff. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, integration calls, 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 a reviewed task-and-progress record 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. Managers approve substantive task changes and external communications. One fixed project template and permissioned integration set; final task assignment and performance judgments remain managerial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.