Ep 11: How to Build AI Agents

I often hear creators ask how to build AI agents that can automate parts of their image or video projects. Learning how to build AI agents matters because it frees you from repetitive tasks, speeds up workflows, and lets you focus on creative direction. In this post, I’ll explain how to build AI agents using Promptus’s visual workflows, with insights from my experience as co-founder. ✨

Designing Your First AI Agent

When guiding beginners, start by defining the task clearly. In Promptus, an AI agent is essentially a visual workflow—Cosyflows—that runs automatically with minimal manual steps. For example, imagine you need daily social media graphics with consistent branding. You can create a Cosyflow with nodes:

1. Prompt Input: Defines the base concept.
2. Generate Image: Uses Stable Diffusion to create a draft.
3. Style Variation: Applies color or stylistic tweaks.
4. Export: Outputs the final asset.

Once configured, running this flow is like activating an agent: it produces fresh outputs each time without rewriting prompts.

Tip: Use clear, descriptive node names (e.g., “Base Concept Input”, “Draft Generation”) so you can revisit or debug flows easily.

Drag-and-Drop Setup

• Drag a Prompt Input node.
• Link to a Generate Image node.
• Connect to a Style Variation node.
• Optionally insert a filter or conditional node:
  • If the generated image matches a keyword or passes a simple check, proceed;
  • Otherwise, tweak prompt parameters and retry automatically.

This visual logic avoids code entirely and makes the agent’s decision process transparent. 🎨

Building Adaptive AI Agents

No-code agents don’t retrain models, but you can simulate adaptation via feedback loops:

1. Generate concept art.
2. Use a Rating Input node to select best options.
3. With a Parameter Adjustment node, tweak prompt weights or style guides.
4. Loop back to generation.

Over iterations, the behavior refines itself. This embeds simple decision-making visually, without coding or deep learning expertise.

Example: A content team used this pattern: after each batch of images, team members rated outcomes; the flow adjusted parameters and generated a new batch, gradually honing in on the desired aesthetic.

For more complex tasks—like combining multiple creative models—use MoMM (Model-of-Model Management). For instance, to produce short video teasers:

• Stable Diffusion nodes draft scenes.
• SDXL nodes refine details.
• Veo 3 nodes animate transitions.
• Ensure consistency by passing the same base design through downstream nodes. 🎥

Scaling AI Agents with Parallel Workflows

Advanced users often ask how to parallelize tasks visually—akin to multi-agent systems:

1. Branch workflows: duplicate the Generate Image node into parallel branches.
2. Apply different style parameters on each branch.
3. Use a Collect Results or Select Best node to compare outputs.
4. Optionally feed engagement metrics or manual ratings into the selection logic.

Example: A marketing team needed varied ad creatives for different audiences. They branched into “vibrant,” “minimal,” and “vintage” style nodes, then compared results and automatically packaged the winner for deployment. This cut weeks of manual iteration into minutes. ⚡

Best Practices for How to Build AI Agents

From leading Promptus’s learning programs, I recommend these steps:

1. Start with a clear goal. Identify a repetitive or multi-step creative task.
2. Map the flow visually. Sketch: input → generate → evaluate → adjust → output.
3. Use parameter preservation. Lock effective settings so the agent remains consistent.
4. Add feedback or conditional loops. Use rating or filter nodes to decide retries or progression.
5. Branch for parallel exploration. Duplicate nodes with varied parameters; collect and compare results.
6. Combine models via MoMM. Leverage Stable Diffusion for drafts, SDXL for detail, Veo 3 for animation, etc.
7. Monitor and refine. Run manually first, observe outputs, adjust node settings, and use clear naming.
8. Leverage templates and tutorials. Use step-by-step examples—for batch image generation, style transfer, short video creation—to accelerate setup. 📚

Call to Action

Ready to automate your creative workflows? Sign up at Promptus and choose between Promptus Web for instant browser access or Promptus App for more intensive local runs. Explore our tutorials to see exactly how I guide creators in setting up their first AI agents with Cosyflows and MoMM. 🌟

Conclusion

Learning how to build AI agents in a no-code environment unlocks new efficiency and creativity. With Promptus’s visual workflows, you define the agent logic by connecting nodes for generation, evaluation, and adaptation. You can branch workflows for parallel exploration, combine multiple models seamlessly, and simulate learning loops—all without writing code. This approach helps creative professionals and beginners alike automate repetitive tasks, refine outputs faster, and focus on big ideas. Sign up at Promptus to start building AI agents that streamline your projects and expand what’s possible in your creative work.