AI app for it and development · no coding needed
Agent workflow operations control portal
Reduce tool sprawl and ungoverned agent runs while keeping human approval over side-effecting actions.
Made for: IT and operations teams building, deploying and running AI agents that automate business workflows with human oversight
What it does for you
The problem
Agent work is spread across separate builder, trigger, orchestration, approval and cost tools, so teams cannot see or control what runs, what it touches and what it costs.
What it gives you
Reviewed agent runs with run receipts and cost logs
What you give it
Plain-language agent descriptionsconnected toolsbusiness eventsapproval rules
Build your own version of Keystroke, Budibase AI Agents and more
One app with what these 8 AI tools do, yours to keep and change: Keystroke, Budibase AI Agents, DeployHermes, Mindra, muno, Triggered Agents by Adaptive, Warren, Taskade Genesis.
Everything these tools do, in one app
- Natural language agent builder Lets users describe an agent in plain language and have the platform create it.Found in Keystroke, Budibase AI Agents, Taskade Genesis
- No-code app builder Generates working applications like dashboards, portals, and CRMs without writing code.Found in Taskade Genesis
- Tool and API integrations Connects agents to external services and APIs so they can take actions in other systems.Found in Keystroke, Budibase AI Agents, DeployHermes and 3 more
- Messaging platform triggers Starts agents from chat platforms like Slack, Teams, or Discord where teams already work.Found in Keystroke, Budibase AI Agents
- Event-driven triggers Runs agents automatically when business events fire in connected tools.Found in Keystroke, Triggered Agents by Adaptive
- Scheduled runs Runs agents on a schedule without manual initiation.Found in Keystroke, Warren
- Deterministic workflow steps Combines agent reasoning with fixed, predictable steps in a workflow.Found in Keystroke, Budibase AI Agents
- Multi-agent orchestration Coordinates multiple specialist agents to complete multi-step work together.Found in Keystroke, DeployHermes, Mindra
- Human approval gates Pauses agents and routes decisions to people before side-effecting actions proceed.Found in Keystroke, DeployHermes, Mindra and 1 more
- Agent memory Stores context and facts so agents retain knowledge across sessions and improve over time.Found in Keystroke, DeployHermes, Mindra and 1 more
- Built-in web search and code execution Gives agents tools to search the web and run code as part of their work.Found in Keystroke
- Model routing Lets teams choose and route between multiple LLM providers or custom APIs.Found in Budibase AI Agents
- Self-healing workflows Detects failures, re-plans or retries, and escalates only when necessary.Found in Mindra
- Run receipts and cost logs Records what each run did, what it cost, what it touched, and why it failed.Found in DeployHermes, Warren
- Spend and concurrency limits Sets per-run and project-level caps on cost and parallel execution.Found in Mindra, Warren
- Voice meeting agents Runs one-to-one voice conversations and captures conversational context.Found in muno
- Automated summaries and documents Generates summaries, documents, and key points from conversations or events.Found in muno, Triggered Agents by Adaptive
- Ticket and board automation Creates, moves, and updates tickets on project boards based on outcomes.Found in muno, DeployHermes
- Open-source self-hosting Lets teams inspect the source and run the platform on their own infrastructure.Found in Keystroke, Budibase AI Agents, Warren
- Isolated run workspaces Creates a separate, isolated environment for each agent run.Found in DeployHermes, Warren
- MCP integration Connects external AI clients through the Model Context Protocol to manage agents.Found in Keystroke, DeployHermes
How it works, step by step
- Describe an agent in plain language and generate a draft
- Generate no-code apps such as dashboards, portals and CRMs
- Connect agents to external services and APIs
- Start agents from Slack, Teams or Discord
- Run agents when business events fire in connected tools
- Run agents on a schedule
- Combine agent reasoning with fixed deterministic steps
- Coordinate multiple specialist agents on multi-step work
- Pause agents and route decisions to people before side-effecting actions
- Store context and facts across sessions
- Give agents web search and code execution tools
- Route between LLM providers and custom APIs
- Detect failures, re-plan or retry, and escalate when necessary
- Record what each run did, what it cost, what it touched and why it failed
- Set per-run and project-level spend and concurrency caps
- Run one-to-one voice conversations and capture context
- Generate summaries, documents and key points
- Create, move and update tickets on project boards
- Self-host the platform on own infrastructure
- Isolate each agent run in its own workspace
- Connect external AI clients through the Model Context Protocol
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed agent run record 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 Agent workflow operations control 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 Agent workflow operations control 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 links5 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 criteria12 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 tool sprawl and ungoverned agent runs while keeping human approval over side-effecting actions. For IT and operations teams building, deploying and running AI agents that automate business workflows with human oversight, convert plain-language agent descriptions, connected tools and business events into reviewed agent runs with run receipts and cost logs. The benefit is a testable hypothesis, measured through approved agent runs per operator hour and unapproved side-effecting actions; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect plain-language agent descriptions, connected tools, business events and approval rules, then follow this sequence: 1. Describe an agent in plain language and generate a draft. 2. Connect agents to external services and APIs. 3. Run agents when business events fire in connected tools. 4. Pause agents and route decisions to people before side-effecting actions. Resolve uncertain cases with qualified reviewers, approve reviewed agent runs with run receipts and cost logs, and measure approved agent runs per operator hour and unapproved side-effecting actions 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 fixed approval policy and connected tool set; final authorization and side-effecting actions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, credential boundaries and usage permissions. Named owners approve substantive changes and side-effecting actions. One fixed approval policy and connected tool set; final authorization and side-effecting actions remain human. 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 fixed approval policy and connected tool set; final authorization and side-effecting actions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: describe an agent in plain language and generate a draft; connect agents to external services and APIs. Support the third module with operator review: run agents when business events fire in connected tools. 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
Customer-owned agent descriptions, authorized tool credentials and permitted event sources. Cloud asset storage, design-file import/export and publishing 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.
The screens in detail
Primary screens: Agent builder and workflow canvas, Run monitor and approval queue, Receipts and cost log. Use a project list for agents and workflows, a large central canvas for steps and triggers, and a right-hand panel for tools, models, limits and comments. Let users compare draft and published versions side by side. Display draft, changes requested, approved and running states. Provide a client preview link with comments anchored to the relevant step. Make the task-specific outcome reviewed agent runs with run receipts and cost logs visible beside its evidence, review state and value baseline.
