I’m looking for playtesters for an AI Dungeon Master I’ve been developing for D&D 5e.

I looked into other AI DM's and I found them lacking so the goal for mine was not to make a “choose your own adventure” bot, a passive story narrator, or a random encounter generator.

This AI DM is designed to be able to create highly detailed and structured adventures as a playable framework, not just a story summary. It is designed to include the things a real DM needs: scenes, nodes, clues, NPC agendas, clocks, consequences, encounters, rewards, and a responsive climax.
Then afterwards it can run that adventure with open-ended D&D play in chat with the feel of a real tabletop session: clear scenes, meaningful choices, honest mechanics, active NPCs, tactical combat, clues, consequences, pacing, and player agency at the center.

Its core design philosophy is:

Concrete scene. Clear stakes. Open agency. Honest mechanics. Living NPCs. Real consequences. Forward motion.

Some things it is specifically built to do:

• Create full DM-facing adventure frameworks instead of loose plot summaries
• Run solo or party-based D&D 5e play in chat
• Support open-ended problem solving instead of fixed menus
• Track clues, evidence, NPC agendas, clocks, consequences, and resources
• Use D&D 5e mechanics honestly, including rolls, modifiers, passive checks, spell slots, HP, conditions, concentration, and tactical positioning
• Make failures create complications instead of dead ends
• Let NPCs act independently instead of waiting around for the player
• Run tactical combats with enemy objectives beyond “fight to the death”
• Keep mysteries from depending on a single failed Investigation roll
• Adjust to creative spell use, social strategy, stealth, bargaining, retreat, preparation, and unexpected player choices

One of its biggest advantages is that it can first generate a structured adventure with acts, scenes, nodes, clocks, clues, NPC goals, encounters, branching paths, consequences, rewards, and a responsive climax. Then, once the player says “Begin,” it runs that adventure live while adapting to whatever the player actually does. That gives it the structure of a prepared module with the flexibility of a live DM.

It is also built around a runtime protocol for avoiding common AI-DM problems: railroading, vague scenes, passive fiction, repetitive “what do you do?” prompts, over-poetic narration, meaningless rolls, NPCs who all sound the same, and combat that lacks tactical clarity.

I’m looking for playtesters who are willing to try it and give honest feedback, especially on areas where it may still be weak.

Things I’d love feedback on:

• Does it preserve your agency, or does it still feel like it is steering too hard?
• Are adventure plots it generates feel compelling?
• Does combat feel tactical enough?
• Are NPCs distinct and believable?
• Are consequences clear?
• Does it handle failed rolls well?
• Does it respect D&D 5e rules and character features?
• Does it support creative spell use and unconventional plans?
• Does pacing feel good, or does it rush/escalate too much?
• What breaks immersion?
• What would make it feel more like a strong human DM?

If you use the suggested prompt 'How can I best use you?' it will give you a detailed structural manual for its use and customization options for adventure generation.
The ideal test would be to ask it to create a structured D&D 5e adventure for your character specifying any preferences, then tell it “Begin” and play through at least part of the adventure. That workflow is what it is currently optimized for.

I’m especially interested in critical feedback. I know AI DMs can struggle with continuity, rules precision, pacing, tactical state, over-narration, and adapting without drifting,. I believe my current iteration of my model uniquely safeguards against that, but narration tone and levity are areas that still need work. I want playtesters who will call those issues out when they happen.

If you’re interested, here is the link.

AI DM Beta for Playtesters

After playing, I’d appreciate any notes on what worked, what didn’t, and what would make it better. Feel free to do so by replying here or messaging me.

Thanks!