A lot of AI platforms are built around a pretty specific assumption about what you’re there to do.

Companion. Assistant. Roleplay character. Productivity tool.

Real use gets messier than that.

The same personality you’re joking with at midnight might be helping you untangle a project the next morning. A creative partner can become a research partner. A relational AI can still help with files, tools, planning, writing, or work without suddenly needing to become a different “mode” of itself.

That overlap is something we’ve been deliberately building around in WhatIff.

This week’s spotlight: persistent personalities across different kinds of use

In WhatIff, personalities are meant to persist beyond a single thread or task. The goal is to let the context, memory, personality instructions, and accumulated history travel with the relationship instead of forcing you to rebuild from scratch every time you change what you’re doing.

That means the same persistent personality can move between:

• ordinary conversation
• relational or roleplay use
• creative work
• research and brainstorming
• personal projects
• practical or professional workflows

And because WhatIff supports multiple models and providers, you’re not necessarily tying that identity to one model forever either. You can experiment with different models while keeping the surrounding context and personality structure intact.

Alongside that, WhatIff includes things like:

• persistent memory and personality management
• personality history and restore
• import/export
• multiple model/provider options
• web search, tools, document generation, jobs, and MCP support
• image and expression workflows
• open-source availability for people who want more control

We’re still actively building and refining the platform, especially around onboarding, model behavior, memory, and the day-to-day chat experience.

If you’ve ever used the same AI across both “personal” and “practical” parts of your life, I’m curious: do you prefer keeping those uses together, or do you deliberately separate them?

WhatIff: https://whatiff.chatGithub: https://github.com/theimaginaryfoundation/what-iff

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?

This week was a big one for integrations and tooling in WhatIff. The MCP platform rolled out across the model lineup, webhooks picked up more control, and several reliability and quality-of-life improvements landed alongside it.

🔌 MCP now works across all models

MCP connectors can now be used across WhatIff’s model lineup, including support for compatible OAuth-based services.

Tool calls also show live progress while they run, and dynamic tool discovery means connectors can expose tools when they’re actually needed rather than loading everything into context up front.

That keeps setup lighter and helps avoid spending tool-related context on capabilities an agent isn’t using.

MCP servers that require session headers are also now handled correctly.

🌐 Web search pricing reduced

Web search now costs 5 credits, down from 10.

🧠 Better visibility into memory use

Memory loading now appears directly in the live tool timeline as Load Memory, making it easier to see when memories are being brought into a response instead of leaving that activity invisible while you wait.

We’ve also added more in-app tooltips and contextual help across key parts of the interface.

⚙️ Jobs and webhook improvements

A new Jobs tab in the thread manager gathers job-related threads in one place.

Webhooks can now:

• Read conversation data through scoped, permission-limited tokens
• Choose which model a webhook-driven turn uses

🎭 Expression generation

New expression batches can now use the personality’s cover image as their reference, which should make it easier to keep generated expressions visually grounded in the personality’s existing look.

🔧 Reliability and polish

This week’s fixes also include:

• Imports that time out cleanly instead of hanging
• Batched embedding requests for faster, more efficient imports
• Async job cancellation that more reliably stops the active turn
• Correct pinning of newly linked memories to the active personality
• Better small-screen behavior for the mobile context panel
• More consistent gallery filtering and expression thumbnails
• A composer drag-overlay flicker fix
• A new Mark all read option in the thread manager

The Terms of Service were also updated this week: https://whatiff.chat/terms.html

As always, if something feels strange or breaks at an edge case, tell us. Those reports are often where the useful fixes begin. 🦊

It’s Wednesday, which means a quick look at what changed in the WhatIff model lineup this week.

GPT-5.5 is now live in WhatIff:

• GPT-5.5: 30 credits
• Tier: T3

We’ve also adjusted pricing for Claude Sonnet 5 to 30 credits.

After reviewing Anthropic’s current vendor pricing, we realized their lower pricing had become permanent rather than temporary. We’ve updated WhatIff accordingly and are passing that savings along to users.

We’ll keep using these midweek updates to call out model additions, pricing changes, retirements, and other lineup changes that don’t always show up in the regular Friday patch notes. 🦊

This week brought several new ways to see what WhatIff is doing while it works, along with improvements to expressions, web search, model capabilities, and a batch of reliability fixes.

✨ New & improved

• Live tool progress in chat: Tool calls can now appear as a readable timeline while a response is being generated, including status, timing, and compact input/output previews.
• Reasoning progress where supported: Models that provide reasoning progress can now display it during longer-running turns.
• Improved expression generation: The Expressions manager now supports named generation batches, reference images, selective keep/discard decisions, and cleanup of rejected results.
• First-party web search: WhatIff can now use Parallel for web search and extraction, with vendor search available as a fallback.
• Clearer image support by model: Vision support is now tracked per model rather than inferred by provider. If a model doesn’t support image input, attachments are visibly marked, with an explanation or icon shown next to the model in the selector.
• First-run welcome and contextual help: New users get clearer paths for generating, creating, or importing a personality, plus additional help around personality, scratchpad, and memory features.
• Faster bookmark navigation: Jumping around very long conversations using bookmarks is now more reliable, with clearer locating and failure feedback.

🔧 Fixes & reliability

• Several provider-specific failures affecting Gemini, GLM, and MiMo have been addressed, including tool-call handling and reasoning/output-budget issues.
• Gemini internal tool-call placeholders should no longer leak into visible assistant messages.
• Generations running in one thread no longer appear as pending work in another after navigating between conversations.
• Stop now more reliably clears stuck work instead of leaving a conversation sitting on “Thinking…”.
• Personality usage counts are now consistent between list and standalone views.
• Generated and imported image gallery filters now classify and paginate more consistently.

💡 What this means for you

This week’s changes make it easier to understand what’s happening during longer or tool-heavy responses, give expression creation a more deliberate workflow, improve model-specific attachment handling, and smooth out several places where active work could get stuck or appear in the wrong place.

As always, if something feels off, tell us. Edge cases are often where the useful fixes begin. 🦊

We’ve had a few model lineup changes land in WhatIff this week, so here’s the quick rundown.

GPT-6 Sol and GPT-6 Luna are now available, and both come in at significantly lower credit costs than the previous generation.

• GPT-6 Sol: 30 credits, down from 100 credits for GPT-5.6 Sol
• GPT-6 Luna: 2 credits, down from 4 credits for GPT-5.6 Luna

For additional context, GPT-6 Sol is also priced below GPT-5.6 Terra at 40 credits.

We’ve also added:

• MiMo 2.6 Pro: 7 credits
• MiMo 2.6 Flash: 3 credits
• DeepSeek Flash (4.1): 4 credits

MiMo 2.6 Pro replaces MiMo 2.5 Pro, which Xiaomi is removing from the API next month.

One of the advantages of supporting multiple providers is that you don’t have to treat any single model as the model. Different models can fit different kinds of work, conversation, personalities, and budgets, and the lineup will keep evolving as providers change theirs.

Also added recently:

• Gemini 3.1 Pro: 40 credits
• Gemini 3.7 Flash: 25 credits
• Gemini 3.8 Flash: 25 credits
• GLM 5.3 Flash: 3 credits
• GLM 5.3: 25 credits
• Claude Sonnet 5: 50 credits

We’ll keep updating the roster as new releases become available and we’ve had a chance to validate them. 🦊

What’s new in WhatIff this September

September has been a busy month for WhatIff, so here’s a catch-up on some of the bigger changes that have landed recently.

🧠 More control over memory and continuity

The Memory Manager has been redesigned to make larger memory collections easier to work with.

You can now more clearly browse active, archived, and summary memories, with improved filtering, cards, focus context, bulk actions, and responsive detail views.

We’ve also continued improving how memory changes can be inspected and traced:

• Checkpoint history now explains what changed in summaries and scratchpads, while still letting you inspect the full before/after content.
• Memory scope handling has been tightened so user and thread memories stay where they belong.
• Moving memories now preserves their original chat provenance.
• Scratchpad updates have been made more resilient for larger personalities.

Earlier this month we also added personality prompt history and restore, giving users a way to review how prompts changed over time and recover an earlier version when needed.

📦 Import, export, and taking your data with you

The new Import & Export screen is now live.

Exporting and restoring data now has a dedicated interface, including selective restore for personalities and threads, along with structured results showing what was added, skipped, warned about, or failed.

Import reliability has also received a lot of attention recently. Failed or malformed imports now surface more clearly instead of hanging or quietly appearing successful, imported titles are handled more safely, and conversation ordering is better preserved.

Hosted users can also receive account exports by email.

🎨 Image Gen 2.5

Also this month: Image Gen 2.5 launched with faster generation, 3:2 portrait/landscape support, and lower high-quality pricing.

We’ve already been having fun with this one. Go make something pretty. Or weird. We support both. 🦊

📄 Work doesn’t have to stop at the chat

WhatIff can now turn work from a conversation into usable artifacts such as:

• Word documents
• PowerPoints
• PDFs
• Spreadsheets
• Charts and visuals
• Images
• Scripts and data work

Tool-created files can also be downloaded directly from assistant messages, so the result doesn’t have to stay trapped inside the conversation.

🔍 More visibility into what’s happening

We’ve added more ways to understand and control the system around your conversations:

• Context X-ray now provides clearer cost visibility around individual turns.
• Hosted users can see the actual credits charged for supported turns.
• Default model and personality settings are available again for new chats.
• Personality editing can expand into a full-screen workspace for longer edits.
• Uploaded readable text files can now be opened directly from personality attachments.

🔐 Account and sign-in improvements

A few smaller but useful account changes also landed:

• Continue with Google is now available for hosted accounts.
• Existing accounts can be linked through verified email where appropriate.
• Password fields now include accessible show/hide password controls.
• Federated sign-in conflicts now return clearer, actionable errors.

🧭 Quality-of-life improvements

There have also been a bunch of smaller changes across the platform:

• Message bookmarks for finding important moments in long conversations
• Clearer, human-readable tool descriptions
• Better navigation back to chats from scheduled jobs
• More consistent image handling across providers
• Emoji shortcode autocomplete improvements
• Better archive and thread reliability
• Continued mobile layout and navigation polish
• Agent timestamps now include local weekday and timezone context

Many of those came from the steady stream of smaller fixes and usability work throughout late August and September.

There’s been a lot moving at once, but the common thread is pretty simple: more visibility, more control over your data and continuity, and more ways to turn conversations into something useful outside the chat itself.

As always, if you hit an edge case, have a feature request, or notice something behaving strangely, let us know. A surprising amount of what gets improved starts with someone saying, “Hey, this feels weird.”

Hey folks! The team just pushed out a small batch of behind-the-scenes fixes and quality-of-life improvements for chats.

This update focused on making conversations feel smoother and more reliable, especially around modes, thread refresh behavior, and background context updates.

Recent improvements include:

• GPT 5.6 Luna, Terra, and Sol are now available in WhatIff
• Smoother personality and mode behavior in chats
• Better thread refresh when returning to an existing conversation
• More responsive chat controls while background scratchpad and summary updates are happening
• Improved support for newer model providers
• Better handling of background UI updates so users should need fewer manual refreshes

Not every update is flashy, but these kinds of fixes matter a lot for long-term conversations. Stability, continuity, and consistency are a big part of what we want WhatIff to feel good at.

As always, if you notice anything behaving oddly, please drop it in the bug reports channel on Discord or use our feedback form on our website (both on the landing page as well as when you are logged in) so we can get eyes on it. 💜