GUIs sind nicht für Agenten
Browser-basierte Form Builder erfordern Klicken, Ziehen und visuelles Parsing. KI-Agenten können diese Schnittstellen nicht zuverlässig navigieren. Jede Interaktion ist fragil und unvorhersehbar.
Für KI-Agenten
Der erste Formular-Builder Entwickelt für KI-Agenten
Dashform CLI gibt KI-Agenten die Macht, Formulare und Funnels autonom vom Terminal aus zu erstellen, zu verwalten und bereitzustellen. Textbasierte I/O. Strukturierte JSON-Ausgabe. Für die Agenten-Ära gebaut.
dashform
# AI agent creates a lead qualification form
$dashform forms create --name 'Lead-Qualifizierer' --type dynamisch --tone professionell
✓ Formular erfolgreich erstellt
id abc123
name Lead-Qualifizierer
type dynamic
public_id ewODeO6dSC
created_at 2026-03-01T10:00:00Z
In Aktion sehen
Sehen Sie, wie ein KI-Agent Dashform CLI verwendet, um einen vollständigen Lead-Qualifizierungs-Funnel in unter einer Minute zu erstellen und bereitzustellen.
Die Agenten-Native-Philosophie
Warum Agenten ein CLI brauchen, kein GUI
„Für Agenten erstellen. CLIs sind agenten-nativ, weil sie textbasierte Ein-/Ausgabe verwenden, die Sprachmodelle nativ verstehen, im Gegensatz zu browserbasierten GUIs, die DOM-Navigation und Pixel-Parsing erfordern.”
Lesen Sie die vollständige Geschichte: Dashform CLI – Der erste Form Builder für KI-Agenten
CLIs sind Agenten-nativ
Text rein, Text raus. Sprachmodelle verstehen CLI-Befehle nativ. Strukturierte Flags, vorhersagbare Ausgabeformate und kombinierbare Pipelines entsprechen der Denkweise von Agenten.
JSON ist die universelle Sprache
Jeder Dashform CLI-Befehl unterstützt --json Ausgabe. Strukturierte, typisierte, Zod-validierte Antworten, die Agenten parsen und darauf reagieren können, ohne zu raten.
In 4 Befehlen einsatzbereit
Von null zu einem bereitgestellten Formular in unter einer Minute. Hier ist, was ein KI-Agent tut:
1
Authenticate
Store the API key securely. XDG-compliant config with restricted file permissions (0o600). One command, done.
2
Create a form
Specify name, description, type (structured or dynamic), and tone. The agent decides the parameters autonomously.
3
Manage and iterate
List, get, update, or delete forms. The agent can check responses, adjust questions, and iterate on the funnel automatically.
4
Export as JSON
Every command supports --json for machine-readable output. Pipe it to the next step in any agent pipeline.
dashform quickstart
# Step 1: Authenticate
$dashform auth login --api-key sk_live_abc123
✓ API-Schlüssel sicher gespeichert
# Step 2: Create a form
$dashform forms create --name "Lead-Qualifizierung" --type dynamisch
✓ Formular erfolgreich erstellt
# Step 3: List all forms
$dashform forms list --json
# Step 4: Get form details
$dashform forms get abc123 --json
Funktionen
Entwickelt für Agenten, geliebt von Entwicklern
Jede Funktion ist nach agenten-nativen Prinzipien konzipiert: strukturierte Eingabe, vorhersagbare Ausgabe, keine Mehrdeutigkeit.
Full CRUD Operations
Create, read, update, and delete forms with simple CLI commands. Agents get complete control over the entire form lifecycle.
Dual Output Modes
Human-readable tables by default, machine-readable JSON with --json. Agents get structured data; developers get pretty output.
Secure API Key Auth
API keys stored locally with file permissions restricted to your user only (0o600). XDG-compliant config directory.
TypeScript + Zod Validation
Every API response is validated with Zod schemas. Strict typing ensures agents never get malformed data they cannot parse.
Structured + Dynamic Forms
Create traditional structured forms or AI-powered conversational dynamic forms that adapt questions based on responses.
Safety Guards Built In
Destructive operations require --yes confirmation. Agents can't accidentally delete data without explicit intent.
Agenten-Workflows
Was KI-Agenten mit Dashform CLI erstellen
Reale autonome Workflows, die von Agenten betrieben werden, die Formulare ohne menschliches Eingreifen erstellen und verwalten.
Sales Automation
Autonomous Lead Qualification
An AI sales agent creates a dynamic lead qualification form, deploys it to a landing page, monitors responses as they come in, analyzes prospect quality, and iterates on questions to improve conversion rates. All without a human touching the form builder.
agent workflow
$dashform forms create --name "Solar Lead Qualifier" --type dynamic
$dashform forms get ewODeO6dSC --json | analyze-responses
$dashform forms update ewODeO6dSC --tone conversational
Client Operations
Automated Client Onboarding
A project management agent detects a new signed contract, creates a custom onboarding form with questions specific to the client's industry, sends the link, and processes the responses into the project setup workflow.
agent workflow
$dashform forms create --name "Onboarding: Acme Corp" --type structured
$dashform forms get onb-123 --json | setup-project
Research & Data
Dynamic Survey Iteration
A research agent creates a survey, collects initial responses, analyzes the data for patterns, then updates the form with refined questions based on what it learned. Continuous improvement loops, fully autonomous.
agent workflow
$dashform forms create --name "User Research v1"
$dashform forms list --json | analyze-trends
$dashform forms update srv-456 --name "User Research v2"
Multi-Agent Systems
Multi-Agent Orchestration
One agent creates the form, another monitors response quality, a third handles CRM sync, and an orchestrator coordinates the entire pipeline. Each agent interacts with Dashform CLI through clean, composable commands.
agent workflow
# Agent A: Create
$dashform forms create --name "Campaign Q1" --json
# Agent B: Monitor
$dashform forms get cmp-789 --json | quality-check
# Agent C: Sync
$dashform forms get cmp-789 --json | crm-sync
Traditionelle Formular-Builder wurden nicht dafür gebaut
Typeform, JotForm, Google Forms — sie alle benötigen einen Menschen mit einem Browser. Dashform CLI ist der einzige Formular-Builder, der von Grund auf für autonome Agenten-Workflows konzipiert wurde.
| Fähigkeit | Traditionelle Builder | Dashform CLI |
|---|---|---|
| Agent-operable | Requires browser automation (brittle) | Native CLI commands |
| Structured output | HTML/DOM scraping needed | JSON with --json flag |
| Programmatic CRUD | Limited or no API | Full create/read/update/delete |
| Type safety | No guarantees | TypeScript + Zod validation |
| Safety guards | Undo button (for humans) | --yes flag for destructive ops |
| Pipeline composable | Export to CSV manually | Pipe JSON to any tool |
| AI-native forms | Static question lists | Dynamic conversational forms |
Vollständige Befehlsreferenz
Jeder Befehl, den ein Agent benötigt. Konsistente Flags, vorhersehbares Verhalten, komponierbare Ausgabe.
Authentifizierung
dashform auth loginStore API key with --api-key or interactive prompt
dashform auth whoamiVerify current authenticated user
dashform auth logoutRemove stored API key
Formulare
dashform forms create--name, --description, --type, --tone, --json
dashform forms listList all forms with optional --json output
dashform forms get <id>Get full form details by ID or public ID
dashform forms update <id>Update --name, --description, --type, --tone
dashform forms delete <id> --yesDelete with required --yes confirmation guard
Häufig gestellte Fragen
What is Dashform CLI?+
Dashform CLI is a command-line interface that enables AI agents to create, manage, and deploy forms and funnels autonomously. It is the first form builder designed specifically for the agentic era — providing text-based I/O that language models understand natively, structured JSON output, and full CRUD operations over forms without needing a browser.
Why do AI agents need a CLI form builder instead of using existing form tools?+
Traditional form builders like Typeform, JotForm, and Google Forms are designed for humans using web browsers. They require clicking, dragging, and visual parsing that AI agents can't reliably perform. As Andrej Karpathy emphasized, CLIs are agent-native because they use text-based input and output. Dashform CLI provides structured, predictable interfaces that agents operate with the same reliability as human developers use terminals.
What types of forms can agents create?+
Agents can create two types: structured forms with predefined question types (like contact forms or registration flows), and dynamic forms that use AI to adapt questions conversationally based on the respondent's answers. Both types support custom names, descriptions, and tone settings that agents configure via CLI flags.
How does Dashform CLI integrate with agent frameworks like MCP, LangChain, or OpenAI Agents SDK?+
Dashform CLI outputs structured JSON that integrates with any agent framework. The text-based I/O is inherently compatible with Model Context Protocol (MCP), OpenAI Agents SDK, Anthropic Claude Agent SDK, LangChain, and other orchestration tools. Agents simply execute CLI commands and parse the JSON output as part of their workflow.
Is Dashform CLI secure?+
Yes. API keys are stored locally in an XDG-compliant config directory with file permissions restricted to your user only (0o600). The API key is sent as the x-api-key header on every request. Destructive operations like deleting forms require an explicit --yes confirmation flag, preventing accidental data loss.
Is Dashform CLI free to use?+
Yes, Dashform CLI is free to get started. Install it, authenticate with your Dashform API key, and begin creating forms. The CLI documentation is available on GitHub and the tool works with Dashform's free tier.
What do I need to get started?+
You need Node.js 24 or higher and a Dashform account with an API key. Install the CLI, run dashform auth login with your API key, and you're ready to create your first form. The entire setup takes under a minute.
Geben Sie Ihren Agenten die Macht, Formulare zu erstellen
Dashform CLI ist kostenlos, Open Source und bereit für Ihre Agenten-Pipelines. Die agentische Ära braucht agenten-native Tools. Dies ist das erste für Formulare und Funnels.