Iman Koma

AI Prompt Editor for Building Better AI Agents

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When we talked to our customers at Famulor, we kept seeing the same problem again and again:

People struggle with prompts.

Some try to write system prompts themselves — spending hours tweaking wording, structure, and tone.
Others ask ChatGPT: “Write me a prompt for my AI agent” — copy it, paste it, and hope for the best.

Both approaches usually fail.

Why?


Because AI agents aren’t static text.
They evolve. They need iteration, control, structure, and visibility into what actually changed.

That’s why we built the AI Prompt Editor.

✍️ AI Prompt Editor

Instead of manually rewriting prompts or blindly pasting AI-generated ones, you can now edit prompts by chatting with AI — with full control.

What makes it different:

  • Conversational editing
    Just say what you want:
    “Make it more friendly”, “Add return policy info”, “Be stricter with rules” — the prompt updates instantly.

  • Smart diff preview
    See exactly what changed before applying it: additions, removals, and edits are clearly highlighted.

  • Accept / reject control
    Apply suggestions one-by-one or in bulk. You decide what goes live.

  • Quick actions
    One-click improvements like Make concise, Add detail, or Improve clarity.

  • Variables & schema built-in
    Manage pre-call variables and define structured post-call outputs (string / number / boolean) directly in the editor.

  • Template library
    Start from proven templates for sales, support, scheduling, surveys, and more.

Why this matters

We learned that great AI agents aren’t built with a single “perfect prompt”.
They’re built by iterating, reviewing, and refining behavior over time.

With Famulor, anyone can refine assistant behavior quickly — without being a prompt engineer.

We’d love to hear your feedback, questions, and use cases 🙌

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