Safer commands Natural language → CLI Explain & confirm

Command line power,
with AI that explains itself.

DeepCLI turns intent into reliable shell commands. Ask in plain English, get a proposed command, understand what it does, and run it with guardrails—locally, fast, and with confidence.

See features

Built for engineers, operators, and anyone who prefers terminals over tabs. Works with bash, zsh, and PowerShell (conceptually). No fluff—just better commands.

Intent → Plan → Command

DeepCLI proposes a plan first, then prints the command with a human-readable explanation.

Safety checks

Highlights risky operations, asks for confirmation, and suggests safer alternatives.

Reusable recipes

Save prompts, parameterize them, and share repeatable runbooks with your team.

deepcli • preview
$deepcli "find the 20 largest files in ~/Downloads and show sizes"
Plan:
1) scan directory • 2) sort by size • 3) print top 20 • 4) keep it read-only
Command:
du -ah ~/Downloads | sort -rh | head -n 20
Explanation:
du lists sizes, sort orders largest first, head shows top 20.
$deepcli "free up space by deleting node_modules everywhere"
⚠ Risk detected: This can delete many files. Suggested: preview first.
Preview command:
find . -type d -name node_modules -prune -print | head
If confirmed:
find . -type d -name node_modules -prune -exec rm -rf {} +
Requires confirmation: yes

Features built for real terminals

Everything DeepCLI generates is transparent: the why, the what, and the blast radius.

Natural language → shell

Describe your goal. DeepCLI outputs the exact command, with flags explained and defaults chosen carefully.

Guardrails for destructive ops

Detects risky actions (deletes, overwrites, privilege escalation) and suggests safer previews & backups.

Context-aware suggestions

Understands directories, git repos, and common tooling patterns to generate commands that actually fit.

Explain-first workflow

DeepCLI can output a plan and then a command, so you can review intent before executing. Great for onboarding and avoiding “mystery one-liners.”

plan mode teach mode copy-ready

Snippets & runbooks

Save recipes like “rotate logs” or “inspect docker space”. Parameterize paths and share with your team. Consistency without memorizing flags.

templates variables team sharing

A simple workflow that keeps you in control

DeepCLI is designed to reduce mistakes, not automate away your judgment.

1) Ask for what you want

Use natural language: “tail nginx errors from the last hour” or “find large git objects.”

2) Review the plan + command

DeepCLI shows a short plan, then prints the command. You can copy it, tweak it, or request alternatives.

3) Confirm if it’s risky

Destructive actions are flagged with a clear warning, safer preview options, and explicit confirmation prompts.

4) Save as a recipe

Turn it into a reusable snippet with parameters (paths, hosts, limits) for next time.

Pricing

Pick a plan that matches how often you live in a terminal.

Starter

For personal projects and learning.

$0 /month
Get started
  • Command generation + explanations
  • Safety warnings for risky ops
  • Basic snippet saving

Team

Shared runbooks and governance.

$39 /user/month
Talk to sales
  • Org runbooks + approvals
  • Audit trails for command history
  • Policy guardrails (allow/deny)
  • SSO & role-based access

Please contact us for any inquiries about pricing.

FAQ

Quick answers to common questions.

Does DeepCLI run commands automatically?

By default, no. DeepCLI proposes commands and explains them. You stay in control and choose what to execute. You can enable confirmation-gated execution if you want a tighter loop.

How does it stay safe?

It flags destructive operations, encourages previews, highlights privileges, and can require explicit confirmation for high-risk actions like rm -rf or overwriting files.

Is this for beginners or experts?

Both. Beginners get explanations and guardrails; experts get speed, better defaults, and reusable snippets.

Can I customize it?

Yes—configure preferred tools (ripgrep vs grep), output style (plan-first, minimal), and team policies (allow/deny certain commands).