Choice-driven story and tabletop session studio

For

Writers, facilitators and educators running interactive story or tabletop sessions

Solves

Interactive story and tabletop sessions are scattered across several subscriptions, so groups cannot own their content, settings or session history.

Delivers

Reviewed session-ready story paths and playable adventures

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Run interactive, choice-driven stories and role-playing adventures from one owned workspace.

1. Generate interactive stories that adapt to user choices.
2. Adjust genre, tone and complexity parameters.
3. Support branching paths with different endings.
4. Provide a simple interface for beginners and casual users.
5. Export and share stories in common formats.
6. Let multiple users contribute to one story.
7. Generate text, images and video for scenes.
8. Offer guided help and learning resources.
9. Surface community stories and events.
10. Support character creation with traits and backgrounds.
11. Track session notes and summaries.
12. Work with several tabletop RPG systems.
13. Simulate procedural, unpredictable adventures.
14. Support multiple players in one game.
15. Generate locations, NPCs, enemies and items.
16. Resolve combat from descriptions and attribute checks.
17. Combine items into new products with determined outcomes.
18. Provide child-friendly navigation and visuals.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewed session-ready story paths and playable adventures with source references and unresolved questions.

Everything these tools do, in one app

• Interactive story generation Generates stories that adapt and evolve based on the user's choices.Found in AI Adventure, Depth Tale, AI Game Master and 4 more
• Customizable story settings Lets users adjust genre, tone, complexity, or other parameters to shape the narrative.Found in AI Adventure, AI Game Master, Friends & Fables
• Multiple narrative paths Supports branching storylines that lead to different outcomes and endings.Found in AI Adventure, Depth Tale, Hidden Door
• User-friendly interface Provides an easy-to-navigate design suitable for beginners and casual users.Found in AI Adventure, Depth Tale, AI Game Master and 2 more
• Export and sharing Allows saving and sharing created stories in various formats.Found in AI Adventure, Friends & Fables
• Collaborative storytelling Enables multiple users to contribute to or participate in the same story.Found in Depth Tale, Hidden Door, IndieHackers RPG Game 🕹️
• Generative AI media Integrates AI-generated text, images, and video to enrich storytelling.Found in Depth Tale, AI Roguelite
• Assisted mode and resources Offers guided help and educational materials to ease learning.Found in Depth Tale
• Community content Provides access to user-created stories and community-driven events.Found in Depth Tale, Hidden Door, IndieHackers RPG Game 🕹️
• Character creation support Helps users create and customize characters with unique traits and backgrounds.Found in AI Game Master, Hidden Door, IndieHackers RPG Game 🕹️
• Session management tools Includes note-taking and summary features to track game events.Found in AI Game Master
• Multi-system compatibility Works with various tabletop RPG systems for flexible use.Found in AI Game Master
• Procedural game simulation Uses procedural systems to generate unpredictable and dynamic adventures.Found in Hidden Door, AI Roguelite
• Multiplayer support Allows multiple players to collaborate or compete in the same game.Found in IndieHackers RPG Game 🕹️
• AI-generated entities Dynamically creates locations, NPCs, enemies, and items for each session.Found in AI Roguelite
• AI-driven combat Resolves combat based on AI-generated descriptions and attribute checks.Found in AI Roguelite
• Crafting recipes Lets players combine items to create new products with AI-determined outcomes.Found in AI Roguelite
• Child-friendly design Offers simple navigation and appealing visuals suitable for young children.Found in Friends & Fables

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed story settings, character sheets, session notes and tabletop rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed story settings

4. 3

   Character sheets

5. 4

   Session notes and tabletop rules

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed session-ready story paths and playable adventures

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed content rating and licensed rule set; final story approval and safeguarding checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Story and session setup, Editable play canvas, Session review and delivery. Use a thumbnail gallery for stories and campaigns, a large central play canvas, and a right-hand panel for characters, rules, notes and comments. Let users compare narrative branches side by side. Display draft, changes requested and approved states. Provide a participant preview link with comments anchored to the relevant scene or rule. Make the task-specific outcome reviewed session-ready story paths and playable adventures visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, participant comments, approval states, usage allowances, session limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Author-owned manuscripts, authorized session recordings and permitted rule sources. Cloud asset storage, document import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case; first modules: generate interactive stories that adapt to user choices; adjust genre, tone and complexity parameters. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will writers, facilitators and educators running interactive story or tabletop sessions use it to solve "interactive story and tabletop sessions are scattered across several subscriptions, so groups cannot own their content, settings or session history"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Completed sessions per prepared hour and participant-rated session quality.
4. Measure, then decide. Track completed sessions per prepared hour and participant-rated session quality; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed content rating and licensed rule set; final story approval and safeguarding checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate interactive stories that adapt to user choices; adjust genre, tone and complexity parameters. Support the third module with operator review: support branching paths with different endings. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed session-ready story paths and playable adventures. Retain the explicit scope boundary: One fixed content rating and licensed rule set; final story approval and safeguarding checks remain human.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity media requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed content rating and licensed rule set; final story approval and safeguarding checks remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined story package. Offer a monthly session allowance after repeat demand. Quote complex media generation or specialist rule systems separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed session-ready story paths and playable adventures. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Run interactive, choice-driven stories and role-playing adventures from one owned workspace. Demonstrate a concrete reviewed session-ready story paths and playable adventures using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Writers, facilitators and educators running interactive story or tabletop sessions professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed session-ready story paths and playable adventures from a small authorized input set, with a transparent calculation of completed sessions per prepared hour and participant-rated session quality and no promised savings.

The first 30 days

1. Week 1: interview five writers, facilitators and educators running interactive story or tabletop sessions and inspect a recent example of interactive story and tabletop sessions scattered across several subscriptions.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure completed sessions per prepared hour and participant-rated session quality, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Completed sessions per prepared hour and participant-rated session quality. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Completed sessions per prepared hour and participant-rated session quality; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed session-ready story paths and playable adventures. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved story settings, rule mappings and review examples, together with reliable delivery for a narrow education and media niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for writers, facilitators and educators running interactive story or tabletop sessions. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

AI Adventure, Depth Tale, AI Game Master, Hidden Door, IndieHackers RPG Game 🕹️, AI Roguelite and Friends & Fables are rented separately today. Compare this product with the buyer's present method on completed sessions per prepared hour and participant-rated session quality. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, media processing, storage, reviewer hours, participant revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed session-ready story paths and playable adventures. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One fixed content rating and licensed rule set; final story approval and safeguarding checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.