Complete AI Training

AI app for executives and strategy · no coding needed

Autonomous agent operations coordination portal

Run business work autonomously with AI agents that plan, execute and collaborate on tasks.

Made for: Executives and strategy teams running recurring business work through AI agents

What Autonomous agent operations coordination portal looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Agent work is scattered across rented tools, so goals, approvals and results are hard to coordinate or audit.

What it gives you

Reviewed agent operations portal with persistent memory and a live record of agent actions

What you give it

GoalsKPIsrole definitionstool accessapproval rules

Build your own version of Verse, SureThing.io and more

One app with what these 3 AI tools do, yours to keep and change: Verse, SureThing.io, Tycoon AI.

Everything these tools do, in one app

  • Autonomous agent creation Create AI agents from a single prompt or by importing code, without manual setup.Found in Verse, SureThing.io, Tycoon AI
  • Persistent memory Agents retain context and state across interactions, resuming tasks instead of starting fresh.Found in Verse, SureThing.io, Tycoon AI
  • Role-based agent teams Agents take on roles like COO, CMO, or CTO and collaborate by sharing context and delegating tasks.Found in SureThing.io, Tycoon AI
  • Multi-channel interaction Interact with agents via chat, voice calls, or direct task assignment.Found in Verse
  • 24/7 independent operation Agents run continuously without requiring a human to trigger or supervise every action.Found in Verse
  • Dedicated agent infrastructure Each agent has its own email, phone, browser, Slack, and crypto wallet, reducing manual integrations.Found in Verse
  • Shared collaboration spaces Multiple agents work together in shared spaces to delegate tasks and solve complex problems.Found in Verse
  • One-click code import Import public code repository links to create working agents from existing open-source skills.Found in SureThing.io
  • Human-in-the-loop controls Approve, override, or incrementally build trust in agent actions.Found in SureThing.io
  • Live dashboard and reporting Agents report progress and outcomes in human-friendly formats via a live dashboard.Found in SureThing.io
  • AI CEO orchestration An AI CEO accepts goals or KPIs, breaks them into plans, assigns tasks, and requests approvals.Found in Tycoon AI
  • Ready-to-use agents Pre-built agents for roles like CMO, CTO, and researchers are available without coding or API keys.Found in Tycoon AI
  • Goal-to-workflow conversion Translate vague objectives into measurable signals, timeframes, and actionable task threads.Found in Tycoon AI
  • Tool integrations Agents interact with existing stacks like Slack, GitHub, Stripe, GA4, and PostHog.Found in Tycoon AI
  • Brand alignment Memory-driven context helps content and decisions reflect past work and preferences.Found in Tycoon AI
  • Model management Supports managing different AI models, such as Claude Code or Hermes integrations.Found in Tycoon AI

How it works, step by step

  1. Create agents from a single prompt or imported code
  2. Retain context and state across interactions
  3. Assign roles such as COO, CMO or CTO and delegate tasks
  4. Interact via chat, voice calls or direct task assignment
  5. Run agents continuously without manual triggering
  6. Give each agent its own email, phone, browser, Slack and wallet
  7. Let multiple agents work in shared collaboration spaces
  8. Import public code repository links to create working agents
  9. Approve, override or incrementally trust agent actions
  10. Report progress and outcomes on a live dashboard
  11. Let an AI CEO accept goals or KPIs, plan and assign tasks
  12. Provide ready-to-use role agents without coding or API keys
  13. Convert vague objectives into measurable signals and task threads
  14. Connect agents to Slack, GitHub, Stripe, GA4 and PostHog
  15. Keep content and decisions aligned with past work and preferences
  16. Manage different AI models and integrations
  17. Compare the reviewed result with the recorded baseline and value assumptions
  18. Capture corrections and named-owner approval before consequential use
  19. Export a versioned reviewed agent operations portal 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 Autonomous agent 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.

Sign in Become a member

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 Autonomous agent operations coordination portal with you.

Have Nexibeo build it

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 links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
  • prompt-vps.mdThe same build on your own server (Docker)26 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 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

Run business work autonomously with AI agents that plan, execute and collaborate on tasks. For executives and strategy teams running recurring business work through AI agents, convert goals, KPIs, role definitions, tool access and approval rules into a reviewed agent operations portal with persistent memory and a live record of agent actions. The benefit is a testable hypothesis, measured through approved agent tasks per operating week and rework after human review; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect goals, KPIs, role definitions, tool access and approval rules, then follow this sequence: 1. Create agents from a single prompt or imported code. 2. Retain context and state across interactions. 3. Assign roles such as COO, CMO or CTO and delegate tasks. 4. Interact via chat, voice calls or direct task assignment. 5. Run agents continuously without manual triggering. Resolve uncertain cases with qualified reviewers, approve reviewed agent operations portal with persistent memory and a live record of agent actions, and measure approved agent tasks per operating week and rework after human review 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. Agent autonomy is bounded by named-owner approval, spending limits and tool permissions; final business decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve goal intent, source attribution, action accuracy and usage permissions. Named owners approve substantive agent actions and external scope. One bounded goal set and one agent team; final business decisions and external actions 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 bounded goal set and one agent team; final business decisions and external actions remain human-approved. Implement one approved input format, a bounded representative case set and the first two task modules: create agents from a single prompt or imported code; retain context and state across interactions. Support the third module with operator review: assign roles such as COO, CMO or CTO and delegate tasks. 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

Client-owned goal documents, authorized KPI exports and permitted tool accounts. Slack, GitHub, Stripe, GA4, PostHog, email, calendar and cloud storage. 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: Goal and KPI intake, Agent team and role setup, Live operations dashboard, Approval and override queue, Shared collaboration space, Reporting and audit log. Use a portfolio view for goals, a central board for running agent tasks, and a right-hand panel for roles, memory, tool access and comments. Let users compare agent plans side by side. Display draft, running, awaiting approval, blocked and completed states. Provide a client preview link with comments anchored to the relevant task. Make the task-specific outcome reviewed agent operations portal with persistent memory and a live record of agent actions visible beside its evidence, review state and value baseline.