AI Agents
Generate autonomous AI agent
applications from a prompt
Describe the task your agent should handle and get a reviewable AI agent project with tool use, memory patterns, API integrations, and multi-step workflows when service availability supports them.
What is included
AI agent builds produce application source and delivery context when artifact, service, and validation evidence supports it.
Tool use and function calling
Agents are generated with tool definitions — web search, API calls, code execution, file I/O — wired into the LLM loop.
Memory and state
Short-term conversation context and long-term memory via vector stores or database persistence, depending on your use case.
Multi-step reasoning
Agents handle tasks that require planning, intermediate steps, and conditional logic — not just single-turn responses.
API integrations
Agents can call external APIs — Slack, email, databases, CRMs — as part of their tool set.
Source handoff
Own the exported agent source when artifact evidence exists. Clean source with service calls, tool definitions, and orchestration logic.
Human-in-the-loop hooks
Approval checkpoints, escalation triggers, and override mechanisms are included when specified.
What you can build
Autonomous agents for research, support, operations, and data work — any task that benefits from an AI that can take multiple steps and use external tools.
- Research and information gathering agents
- Customer support and ticket routing agents
- Data processing and ETL automation
- Code review and analysis agents
- Scheduling and calendar management bots
- Lead qualification and CRM update agents
FAQ
What AI services does WandGx support for agents?
Generated agents can be configured for compatible AI services when the required credentials and service settings are available. Specify the service requirements in the prompt.
Can the agent call external APIs?
Yes when the required API details and credentials are provided. Describe the APIs your agent should use and WandGx will generate tool definitions, API client code, and integration wiring.
Is the generated agent autonomous or does it require human approval?
Both modes are supported. Include "human-in-the-loop" requirements in your prompt and WandGx will add approval checkpoints where appropriate.
How is agent orchestration handled?
WandGx can generate agents with tool and function calling when the selected AI service supports it. The app logic stays in the generated project unless you ask for a different setup.
Related
Build your AI agent
Describe what it should do and get a reviewable agent project with service readiness visible.