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AI Manager

Start with Wappler's project-wide AI agent for orchestrating full-stack work across pages, data, backend logic, validation, and agentic execution.

Back to AI Development

AI Manager

Start with Wappler's project-wide AI agent for orchestrating full-stack work across pages, data, backend logic, validation, and agentic execution.

Start here when the task spans project setup, pages, App Connect, Server Connect, Database Manager, migrations, Problems panel fixes, or any cross-file outcome. The AI Manager is Wappler's project-wide AI agent: it is not bound to the HTML Editor, it can reason across the whole project, load the knowledge and context it needs on demand, work with the right files, follow project rules, make plans, track progress, coordinate validation, and execute broader agentic workflows from one central surface.

AI Manager routes

Use the project-wide AI agent as the central AI development instrument for setup, planning, execution, context loading, and verification.

Start here

AI Manager Overview

Practical AI Manager orientation to its task surface, history flow, toolbars, model/account controls, and prompt entry workflow.

Connect an AI Provider

Wappler Options setup for AI providers, GitHub Copilot as the preferred default, and request-based versus token-based usage in AI Manager.

Choosing Models in AI Manager

Best-practice AI Manager model choice for design, coding, and orchestration, with preferred Claude and GPT defaults.

From Prompt to First Full-Stack Feature

Build a concrete first feature with the AI Manager: a public feedback page, backend save flow, and review checkpoints across the stack.

Agentic Generation, Context, and Verification

Advanced AI Manager workflows for larger tasks with bounded prompts, on-demand knowledge, context control, recovery, and verification.

Build across Wappler

AI for Pages, Design, and UI

Use the AI Manager to shape real pages and UI in Wappler with concrete prompts, reusable structure, and editor-based review.

AI for Data, Backend, and Business Logic

Use the AI Manager for real data contracts, Server Connect flows, validation, and form behavior instead of backend theory alone.

A guided starting point for Workflows: Server Connect Actions (server-side) and App Connect Flows (client-side).

Prompt and guide the agent

Prompting, Rules, and Execution

Learn how to brief the AI Manager well: stronger prompts, design requests, reusable rules, standards, plans, and execution discipline.

Best Prompt Guidelines

Practical AI Manager prompt patterns: write stronger prompts, add the right context, break work into reviewable slices, and guide follow-up passes clearly.

Design Prompts for Better UI

Practical design-prompt patterns for the AI Manager: brief real UI goals, describe hierarchy and states, and review the outcome in Wappler.

Rules, Standards, and Guardrails

Practical ways to write reusable AI Manager rules, show them in project files, and turn them into concrete execution constraints.

Plans, Task Execution, and Verification

Plan larger AI Manager tasks with concrete slices, checkpoints, validation, and recovery steps instead of one opaque execution jump.

Go to

Guided AI development in Wappler from first prompts to advanced full-stack generation, verification, and comparison workflows.

A clear starting route for first-time Wappler AI users who want fast wins without losing control of the app.

Wappler Docs Index

Structured hub for Wappler learning paths across onboarding, how-to guides, reference tours, switching guides, and product-area indexes.