AI app for it and development · no coding needed
Source-linked terminal command assistant and admin console
Reduce command lookup and correction time while keeping every execution under named human approval.
Made for: Developers and IT administrators who run terminal and app commands
What it does for you
The problem
Plain-language requests must be turned into safe, reviewable terminal or app commands without losing context, permissions or an audit trail.
What it gives you
Reviewed, source-linked command suggestions with an approval record
What you give it
Plain-language requeststerminal historyproject rulesinstalled local models
Build your own version of Grok CLI (Unofficial), AiTerm and more
One app with what these 9 AI tools do, yours to keep and change: Grok CLI (Unofficial), AiTerm, ShellMate, Codentis, VVK, Shell Sage, Bob's CLI, Hey!, AI Command Bar.
Everything these tools do, in one app
- Natural language input Lets you type what you want in plain language instead of memorizing command syntax.Found in Grok CLI (Unofficial), AiTerm, ShellMate and 3 more
- Command generation Turns your plain-language request into an executable terminal or app command.Found in Grok CLI (Unofficial), AiTerm, ShellMate and 3 more
- In-terminal suggestions Shows AI-generated command suggestions right inside your active terminal session.Found in AiTerm, ShellMate, Shell Sage
- Command explanations Breaks down complex commands so you can understand what they do before running them.Found in Shell Sage
- Refine before execution Lets you adjust or review a suggested command before it actually runs.Found in Shell Sage, VVK
- Approval gates Requires manual confirmation before any file edit is written to disk.Found in Bob's CLI
- Automatic backups Saves original files to a backup folder before AI changes are applied.Found in Bob's CLI
- Session memory Keeps context across multiple steps or tasks in the same session.Found in Codentis, Bob's CLI
- Conversation forking Lets you explore different directions without losing the original context thread.Found in Bob's CLI
- Terminal history prediction Analyzes your past commands to suggest what you might need next.Found in ShellMate
- Multiple model support Runs several AI models side-by-side and merges their answers.Found in Codentis, AI Command Bar
- Local model auto-detect Finds and uses AI models already installed on your own machine.Found in Bob's CLI
- Remote command execution Sends commands from a phone or web interface to your home machine while keeping code generation local.Found in Bob's CLI
- Custom project instructions Lets you define personalized rules or context for how the tool behaves in a project.Found in Grok CLI (Unofficial)
- Custom command definitions Lets developers define and tailor commands to fit their product’s workflows and terminology.Found in AI Command Bar
- Framework-agnostic integration Plugs into different environments like React or Redux without heavy dependencies.Found in AI Command Bar
- Cross-platform support Works on Linux, Mac, and Windows systems.Found in Hey!
- Wide terminal support Works with popular terminals such as iTerm, VS Code terminal, cmd, and PowerShell.Found in AiTerm
- Multiple shell support Works across shell environments including Bash and Zsh.Found in Shell Sage
- Privacy-focused local data Keeps terminal content and code on your own device instead of external servers.Found in AiTerm, Bob's CLI
- Open-source and hackable Lets you inspect, modify, and contribute to the codebase.Found in Grok CLI (Unofficial), ShellMate, VVK and 1 more
- Lightweight CLI interface Runs as a simple command-line tool without needing a separate app or heavy framework.Found in Grok CLI (Unofficial), AiTerm, VVK and 1 more
- Real-time streaming output Shows AI responses as they are generated for immediate feedback.Found in Codentis
- Syntax highlighting Colors code and command output to make it easier to read.Found in Codentis
- Interactive commands Provides a set of built-in commands to run common developer tasks from the shell.Found in Codentis
- Coding and debugging help Assists with coding issues and bugs directly in the terminal.Found in Codentis, Hey!
How it works, step by step
- Accept plain-language requests
- Generate executable terminal or app commands
- Show in-terminal suggestions inside the active session
- Explain complex commands before execution
- Let users refine a suggestion before it runs
- Require manual confirmation before any file edit is written
- Save original files to a backup folder before changes
- Keep context across steps in a session
- Fork a conversation without losing the original thread
- Predict likely next commands from terminal history
- Run several models side by side and merge answers
- Auto-detect and use locally installed models
- Send commands from a phone or web interface to a home machine while keeping generation local
- Apply custom project instructions
- Support custom command definitions and terminology
- Integrate framework-agnostically without heavy dependencies
- Run on Linux, Mac and Windows
- Work with iTerm, VS Code terminal, cmd and PowerShell
- Work across Bash and Zsh
- Keep terminal content and code on the local device
- Remain open-source and hackable
- Run as a lightweight CLI
- Stream output in real time
- Highlight syntax
- Provide built-in interactive commands for common tasks
- Assist with coding and debugging in the terminal
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 Source-linked terminal command assistant and admin console 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 Source-linked terminal command assistant and admin console 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 criteria13 KB
- demo/index.htmlThe working demo on sample data197 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 command lookup and correction time while keeping every execution under named human approval. For developers and IT administrators who run terminal and app commands, convert plain-language requests, terminal history, project rules and installed local models into reviewed, source-linked command suggestions with backups and an approval record. The benefit is a testable hypothesis, measured through accepted commands per task and corrections after execution; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect plain-language requests, terminal history, project rules and installed local models, then follow this sequence: 1. Accept plain-language requests. 2. Generate executable terminal or app commands. 3. Show in-terminal suggestions inside the active session. 4. Explain complex commands before execution. 5. Let users refine a suggestion before it runs. 6. Require manual confirmation before any file edit is written. 7. Save original files to a backup folder before changes. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked command suggestions with an approval record, and measure accepted commands per task and corrections after execution against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Local model auto-detect and privacy-focused local data; final command approval and execution remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve command intent, source attribution, execution accuracy and usage permissions. Developers approve substantive changes and execution scope. Local model auto-detect and privacy-focused local data; final command approval and execution 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: Local model auto-detect and privacy-focused local data; final command approval and execution remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept plain-language requests; generate executable terminal or app commands. Support the third module with operator review: show in-terminal suggestions inside the active session. 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
Developer-owned repositories, authorized terminal sessions and permitted local model runtimes. 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: Request and context, Editable command preview, Approval and execution log. Use a session list, a large central command canvas with syntax highlighting, and a right-hand panel for explanations, sources, model choice and project rules. Let users compare candidate commands side by side. Display draft, changes requested and approved states. Provide an admin view of sessions, backups, permissions and export history. Make the task-specific outcome reviewed, source-linked command suggestions with an approval record visible beside its evidence, review state and value baseline.
