AI app for operations · no coding needed
Team assistant operations coordination portal
Reduce manual coordination while keeping every automated action under named human review.
Made for: Operations and support leads running routine work across chat, calendar and CRM tools
What it does for you
The problem
Routine requests, tasks and customer messages are handled by hand across several rented tools that do not share context.
What it gives you
Reviewed assistant actions, prioritized tasks and approved customer replies
What you give it
Team chattask listscalendar entriesCRM recordscustomer messages
Build your own version of Runbear, DOO and more
One app with what these 3 AI tools do, yours to keep and change: Runbear, DOO, AIssistify.
Everything these tools do, in one app
- AI assistant creation Lets teams build AI assistants that handle work for them.Found in Runbear
- No-code setup Lets non-technical users build and deploy AI assistants without engineering support.Found in Runbear
- Team-specific training Trains AI agents on a team's own workflows so they understand how the team works.Found in Runbear
- Communication platform integration Puts AI assistants directly inside the chat and communication apps a team already uses.Found in Runbear
- AI agent recommendations Suggests relevant AI agents based on what a team is discussing.Found in Runbear
- Task prioritization Suggests the most important tasks to focus on each day.Found in DOO
- Automated reminders Sends notifications to keep users on track with deadlines.Found in DOO
- Task assignment and sharing Lets team members assign and share tasks with each other.Found in DOO
- Task categories and tags Lets users organize tasks with customizable categories and tags.Found in DOO
- Calendar and communication integration Connects with calendar and communication platforms to keep workflows smooth.Found in DOO
- Data enrichment Keeps customer information up to date automatically.Found in AIssistify
- Personalized email creation Crafts personalized emails and follow-up messages for customers.Found in AIssistify
- Inquiry summarization Summarizes customer inquiries so they can be handled faster.Found in AIssistify
- Automated responses Facilitates quick and accurate automated replies to customers.Found in AIssistify
- Content generation Generates high-quality written content such as social posts, ads, blog outlines, and landing pages.Found in AIssistify
- Request classification Classifies customer requests and support tickets automatically.Found in AIssistify
- HubSpot integration Connects with HubSpot so automation fits into existing customer workflows.Found in Runbear, AIssistify
- SEO and keyword tools Helps optimize content for search visibility with keyword and meta description generators.Found in AIssistify
How it works, step by step
- Build AI assistants for recurring team work
- Configure assistants without engineering support
- Train assistants on the team's own workflows and examples
- Place assistants inside the chat and communication apps the team already uses
- Suggest relevant assistants based on the current discussion
- Prioritize the most important tasks each day
- Send reminders for deadlines and follow-ups
- Assign and share tasks between team members
- Organize tasks with categories and tags
- Connect calendars and communication platforms
- Enrich customer records automatically
- Draft personalized emails and follow-ups
- Summarize customer inquiries
- Propose automated replies for review
- Generate social posts, ads, blog outlines and landing pages
- Classify requests and support tickets
- Sync with HubSpot
- Suggest keywords and meta descriptions
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed assistant action log with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Team assistant operations coordination portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Team assistant operations coordination portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare29 KB
- prompt-vps.mdThe same build on your own server (Docker)29 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria16 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual coordination while keeping every automated action under named human review. For operations and support leads running routine work across chat, calendar and CRM tools, convert team chat, task lists, calendar entries, CRM records and customer messages into reviewed assistant actions, prioritized tasks and approved customer replies. The benefit is a testable hypothesis, measured through handled requests per operations hour and corrections after assistant output; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect team chat, task lists, calendar entries, CRM records and customer messages, then follow this sequence: 1. Build AI assistants for recurring team work. 2. Configure assistants without engineering support. 3. Train assistants on the team's own workflows and examples. 4. Place assistants inside the chat and communication apps the team already uses. 5. Suggest relevant assistants based on the current discussion. 6. Prioritize the most important tasks each day. 7. Send reminders for deadlines and follow-ups. 8. Assign and share tasks between team members. 9. Organize tasks with categories and tags. 10. Connect calendars and communication platforms. 11. Enrich customer records automatically. 12. Draft personalized emails and follow-ups. 13. Summarize customer inquiries. 14. Propose automated replies for review. 15. Generate social posts, ads, blog outlines and landing pages. 16. Classify requests and support tickets. 17. Sync with HubSpot. 18. Suggest keywords and meta descriptions. Resolve uncertain cases with qualified reviewers, approve reviewed assistant actions, prioritized tasks and approved customer replies, and measure handled requests per operations hour and corrections after assistant output against a documented baseline.
How the AI works
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 connected workspace and approved assistant set; final customer replies, task priorities and record changes remain human-approved. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve customer data rights, source attribution, message accuracy and usage permissions. Named owners approve customer replies, task priorities and record changes. One connected workspace and approved assistant set; final customer replies, task priorities and record changes remain human-approved. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One connected workspace and approved assistant set; final customer replies, task priorities and record changes remain human-approved. Implement one approved input format, a bounded representative case set and the first two task modules: build AI assistants for recurring team work; configure assistants without engineering support. Support the remaining modules with operator review: train assistants on the team's own workflows and examples; place assistants inside the chat and communication apps the team already uses; suggest relevant assistants based on the current discussion; prioritize the most important tasks each day; send reminders for deadlines and follow-ups; assign and share tasks between team members; organize tasks with categories and tags; connect calendars and communication platforms; enrich customer records automatically; draft personalized emails and follow-ups; summarize customer inquiries; propose automated replies for review; generate social posts, ads, blog outlines and landing pages; classify requests and support tickets; sync with HubSpot; suggest keywords and meta descriptions. 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.
What it can connect to
Team chat platforms, calendars, task boards, HubSpot and email. 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.
The screens in detail
Primary screens: Assistant builder and training, Live work queue, Review and approval. Use a list of assistants and connected tools, a central queue of suggested tasks, replies and enrichments, and a right-hand panel for sources, confidence and comments. Let users compare suggested and edited versions side by side. Display draft, changes requested and approved states. Provide a shared team view with comments anchored to the relevant request or task. Make the task-specific outcome reviewed assistant actions, prioritized tasks and approved customer replies visible beside its evidence, review state and value baseline.
