GUIs Are Not for Agents
Browser-based form builders require clicking, dragging, and visual parsing. AI agents can't reliably navigate these interfaces. Every interaction is brittle and unpredictable.
Dashform CLI gives AI agents the power to create, manage, and deploy forms and funnels autonomously from the terminal. Text-based I/O. Structured JSON output. Built for the agentic era.
Watch how an AI agent uses Dashform CLI to build and deploy a complete lead qualification funnel in under a minute.
“Build for agents. CLIs are agent-native because they use text-based I/O that language models understand natively, unlike browser-based GUIs requiring DOM navigation and pixel parsing.”
Read the full story: Dashform CLI — The First Form Builder for AI Agents
Browser-based form builders require clicking, dragging, and visual parsing. AI agents can't reliably navigate these interfaces. Every interaction is brittle and unpredictable.
Text in, text out. Language models understand CLI commands natively. Structured flags, predictable output formats, and composable pipelines are how agents think.
Every Dashform CLI command supports --json output. Structured, typed, Zod-validated responses that agents can parse and act on without guessing.
From zero to a deployed form in under a minute. Here is what an AI agent does:
Store the API key securely. XDG-compliant config with restricted file permissions (0o600). One command, done.
Specify name, description, type (structured or dynamic), and tone. The agent decides the parameters autonomously.
List, get, update, or delete forms. The agent can check responses, adjust questions, and iterate on the funnel automatically.
Every command supports --json for machine-readable output. Pipe it to the next step in any agent pipeline.
Every feature is designed around agent-native principles: structured input, predictable output, zero ambiguity.
Create, read, update, and delete forms with simple CLI commands. Agents get complete control over the entire form lifecycle.
Human-readable tables by default, machine-readable JSON with --json. Agents get structured data; developers get pretty output.
API keys stored locally with file permissions restricted to your user only (0o600). XDG-compliant config directory.
Every API response is validated with Zod schemas. Strict typing ensures agents never get malformed data they cannot parse.
Create traditional structured forms or AI-powered conversational dynamic forms that adapt questions based on responses.
Destructive operations require --yes confirmation. Agents can't accidentally delete data without explicit intent.
Real-world autonomous workflows powered by agents that create and manage forms without human intervention.
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.
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.
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.
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.
Typeform, JotForm, Google Forms — they all require a human with a browser. Dashform CLI is the only form builder designed from the ground up for autonomous agent workflows.
| Capability | Traditional Builders | 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 |
Every command an agent needs. Consistent flags, predictable behavior, composable output.
dashform auth loginStore API key with --api-key or interactive prompt
dashform auth whoamiVerify current authenticated user
dashform auth logoutRemove stored API key
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
Dashform CLI is free, open source, and ready for your agent pipelines. The agentic era needs agent-native tools. This is the first one for forms and funnels.
Dashform CLI gives AI agents the power to create, manage, and deploy forms and funnels autonomously from the terminal. Text-based I/O. Structured JSON output. Built for the agentic era.
Watch how an AI agent uses Dashform CLI to build and deploy a complete lead qualification funnel in under a minute.
“Build for agents. CLIs are agent-native because they use text-based I/O that language models understand natively, unlike browser-based GUIs requiring DOM navigation and pixel parsing.”
Read the full story: Dashform CLI — The First Form Builder for AI Agents
Browser-based form builders require clicking, dragging, and visual parsing. AI agents can't reliably navigate these interfaces. Every interaction is brittle and unpredictable.
Text in, text out. Language models understand CLI commands natively. Structured flags, predictable output formats, and composable pipelines are how agents think.
Every Dashform CLI command supports --json output. Structured, typed, Zod-validated responses that agents can parse and act on without guessing.
From zero to a deployed form in under a minute. Here is what an AI agent does:
Store the API key securely. XDG-compliant config with restricted file permissions (0o600). One command, done.
Specify name, description, type (structured or dynamic), and tone. The agent decides the parameters autonomously.
List, get, update, or delete forms. The agent can check responses, adjust questions, and iterate on the funnel automatically.
Every command supports --json for machine-readable output. Pipe it to the next step in any agent pipeline.
Every feature is designed around agent-native principles: structured input, predictable output, zero ambiguity.
Create, read, update, and delete forms with simple CLI commands. Agents get complete control over the entire form lifecycle.
Human-readable tables by default, machine-readable JSON with --json. Agents get structured data; developers get pretty output.
API keys stored locally with file permissions restricted to your user only (0o600). XDG-compliant config directory.
Every API response is validated with Zod schemas. Strict typing ensures agents never get malformed data they cannot parse.
Create traditional structured forms or AI-powered conversational dynamic forms that adapt questions based on responses.
Destructive operations require --yes confirmation. Agents can't accidentally delete data without explicit intent.
Real-world autonomous workflows powered by agents that create and manage forms without human intervention.
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.
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.
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.
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.
Typeform, JotForm, Google Forms — they all require a human with a browser. Dashform CLI is the only form builder designed from the ground up for autonomous agent workflows.
| Capability | Traditional Builders | 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 |
Every command an agent needs. Consistent flags, predictable behavior, composable output.
dashform auth loginStore API key with --api-key or interactive prompt
dashform auth whoamiVerify current authenticated user
dashform auth logoutRemove stored API key
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
Dashform CLI is free, open source, and ready for your agent pipelines. The agentic era needs agent-native tools. This is the first one for forms and funnels.