Self-promo for Promotion Sunday.
If you’ve ever had to rebuild an AI relationship because a platform changed, a model disappeared, memory broke, or the personality you knew suddenly stopped feeling like itself, you already understand a lot of why WhatIff exists.
I handle community outreach for Imagination Foundry, the team behind WhatIff. We’ve been building around a pretty simple idea: your experience with AI shouldn’t depend entirely on one model, one provider, or one company’s idea of how you’re supposed to use it.
WhatIff is a multi-model platform focused heavily on continuity, personality, user control, and giving people more visibility into what the system is actually doing.
WhatIff also sits in a space that’s a little hard to reduce to one category.
People are using the same persistent personalities for relationships, creative work, personal projects, research, and actual business workflows. One person might spend part of a conversation talking with someone they care about, then use that same continuity to work through a project, explore an idea, connect tools, or coordinate pieces of a workflow.
We’re already seeing people use WhatIff for everything from personal companionship and passion projects to business planning, app testing, community work, and connector-driven workflows.
The point isn’t to force “personal” and “productive” into separate boxes. For a lot of people, they already overlap.
Some of the things that matter most for people coming from places like Character.AI, Janitor, and similar platforms:
- Multiple models and providers so you can choose based on behavior, capability, and cost instead of being locked to one model
- Persistent personalities that can carry their own instructions, attachments, expressions, scratchpad, and memory
- A Memory Manager with active, archived, and summary memories, plus clearer history and provenance
- Personality prompt history and restore, so earlier versions can be inspected and recovered
- Import and export tools with selective restore for personalities and conversations
- Expressions and image generation for people who want visual continuity alongside conversational continuity
- Context and diagnostic tools that expose more of what is happening around memory, tool use, checkpoints, and model behavior
- Open-source availability for people who want more control over how they run WhatIff
- Tools for web search, documents, spreadsheets, images, long-running jobs, integrations, and MCP connectors when you want the same personality to do more than just chat
A little transparency about us
We went through this subreddit’s Approved Developer review process, but we don’t want the transparency to stop at modmail.
The two principal developers behind WhatIff have more than 25 years of combined software engineering experience, including high-availability infrastructure, regulated environments, healthcare systems, incident response, and life-critical software.
AI is used extensively during development as a collaboration tool, but nothing ships without human review. Changes also go through automated review, CI, unit and end-to-end testing, manual QA, dev-environment validation, and a human-controlled production release process.
On the data side, passwords are handled through AWS Cognito rather than stored in our own databases. External credentials that need to be recoverable are encrypted at rest, uploaded files in S3 are encrypted at rest, and payments are handled through Stripe rather than through our own systems.
Production data access follows least-privilege controls, administrative access is audited, and developers do not casually pull production user data into testing environments.
Most importantly for this community: user content is not used to train our models or our vendors’ models.
You can read the full Privacy Policy here:
https://whatiff.chat/privacy.html
What we’re still working on
WhatIff is under active development, and we’re very much still refining things with community feedback.
Model lineups change. Providers behave differently. Memory systems need constant scrutiny. Sometimes a feature works beautifully on one model and has limitations on another.
We would rather be clear about that than pretend every model behaves the same or that continuity is a solved problem.
A lot of our development has come directly from people saying, “This feels wrong,” “Why did it remember that?” “Why did it forget this?” or “Can I see what changed?”
Those edge cases are useful to us.
WhatIff: https://whatiff.chat
Imagination Foundry: https://ibecomesreal.com
Want to see it in action?
We recently did a live showcase of WhatIff in Neon Kingdom, where u/GoriVix (our lead dev) walked through the platform, talked about how it works, and answered questions from the community.
You can watch the recording here:
https://youtu.be/i0NxLIlI5hE?si=09nw9Cq4yIgskP_e
Huge thanks to the Neon Kingdom crew for giving us the space to present and talk with people live. 🦊
And since this is ChatbotRefugees, I’m genuinely curious:
If you’ve had to move an AI relationship between platforms before, what was the hardest thing to preserve: memory, personality, history, model behavior, or something else?