AgentSwams

Prompt

Allow users to select any completed node to inspect its inputs, outputs, execution time and relevant metadata.

Provide a live event timeline showing the sequence of agent actions.

7. AI Workflow Templates

Develop a template gallery containing practical examples.

Include:

Content Research Pipeline

A research agent collects information, an analysis agent extracts key findings, and a writing agent produces a structured summary.

Customer Support Assistant

An intake agent categorizes a request, routes it to the correct support specialist and generates a suggested response.

Document Review Workflow

An extraction agent reads uploaded documents, a review agent identifies inconsistencies and a reporting agent creates a structured overview.

Code Review Workflow

One agent checks code quality, another reviews common security concerns, and a third summarizes actionable improvements.

Each template should load an editable workflow with sensible example data.

8. Human Approval and Safety

Introduce a review node that can pause execution before sensitive actions.

Users should be able to approve, reject or request changes.

Keep external actions such as sending emails, publishing content or modifying third-party data disabled unless the user explicitly authorizes them.

Implement per-workflow limits on execution duration, retries and model usage.

9. Workflow Memory and History

Provide a project dashboard where users can save workflows, rename them, duplicate them and review execution history.

Store workflow definitions in a structured format containing nodes, edges, configurations and version metadata.

Maintain a history of past runs, including their statuses, costs and results.

Allow users to revisit previous executions without rerunning the AI models.

10. Technical Architecture

Use Next.js, React, TypeScript, Tailwind CSS, React Flow and Framer Motion.

Use PostgreSQL with Prisma for persistence.

Implement a server-side workflow orchestrator with a validated graph execution model.

Use Anthropic Claude API for the primary AI integration.

Add secure authentication, environment variable validation, structured logging and API rate limiting.

Deploy the application through Vercel with a production-compatible strategy for longer-running workflows.

11. Visual Design Direction

Design an original professional workspace inspired by modern developer tools.

Use a light-neutral interface with a spacious workflow canvas, precise typography, subtle borders and restrained accent colors.

Make each agent node feel like an interactive software component, not a generic colored card.

Use meaningful animations to communicate processing states and information flow.

Ensure the editor remains readable and responsive on common desktop resolutions.

Provide an adapted mobile view for reviewing workflows, even if complex editing remains desktop-focused.

12. Final Deliverables

Build a functional initial release containing:

- Public landing page.
- Workflow dashboard.
- Visual node editor.
- AI agent configuration panels.
- Real Claude API integration.
- Sequential and parallel workflow execution.
- Interactive run visualization.
- Workflow templates.
- Human approval steps.
- Saved projects and execution history.

Include a complete README, setup instructions, database migrations, sample environment variables and deployment guidance.

The final application should demonstrate that one person can create a useful collaborative AI workflow without writing complex orchestration code.

Core principle: Don't just talk to an AI. Build a team of them.