Multiple AI models, one checked answer
Check AI answers before you use them.
One model answers. Other models review, verify, and challenge it. You see what is safe to use.
Your draft answer
"The project should pay back in 6 years. We can send this to the client."
Claude
Checks logic
Gemini
Checks facts
Grok
Finds disagreement
Result
Do not send yet.
The payback assumption depends on a tariff the first model used incorrectly.
Simple flow
Three steps. No manual tab hopping.
1. Compare
Ask several models.
See where their answers differ.
2. Verify
Check the claims.
Numbers, dates, sources, and assumptions get flagged.
3. Use
Send the safer version.
Use the answer after the weak spots are visible.
Before / after
The difference is visible.
One AI answer
"Looks good. Send it."
No source check
No disagreement shown
User must catch mistakes
MultipleChat checked answer
"Use it after changing these 3 things."
Claim needs source
Models disagree on timing
Final answer includes caveat
Side by side
One AI, or a workspace that checks its own work.
45 things you can do here that a single chat window cannot.
| A single AI | MultipleChat | |
|---|---|---|
| Getting the answer | ||
| Who answers | One model, one pass. | A drafter answers, then a second model rewrites it before you see anything. |
| Review before you read it | None. The first draft is the answer. | Every collaboration send includes a rewrite pass by a second model. |
| Extra reviewers | None. | Conversation and Co-operative add up to three reviewers in parallel, each giving substantive pushback. |
| Two independent answers | Not possible in one chat. | Ensemble produces a second independent answer, then synthesises both. |
| Adversarial pass | Ask it to argue and it argues with itself. | Debate runs position → challenge → defense → final across two models. |
| Scenario rounds | You prompt each round by hand. | Simulation runs three rounds plus a closing analysis. |
| Depth pass | Re-prompt and hope. | Expert adds a technical-depth pass with trade-offs and reasoning. |
| Rewriting AI-sounding text | Paste it into another tool. | Humanize rewrites your own text in place. |
| Checking the answer | ||
| Critique attached to every answer | None. | A critique list: factual errors, missing context, oversimplifications, outdated information, better alternatives. |
| Verification pass | None. | Auto Verification runs a separate check on the finished answer and badges it Trusted, Verified or Issues. |
| Cross-examination on demand | None. | Team Reason applies an analytical lens — root cause, stress test, conflict resolution, contextual fit or pattern match. |
| Prompt quality | Your prompt goes as typed. | Prompt Optimizer rewrites it before sending, without inventing facts. |
| Seeing the intermediate work | Hidden. | AI Collab Steps shows the draft, reviewer feedback, debate rounds or simulation rounds. |
| Citations collected | Whatever the model prints inline. | Provider citations and cited links gathered into one Sources panel. |
| Models | ||
| Model families available | One. | ChatGPT, Claude, Gemini, Grok and Perplexity. |
| Side-by-side comparison | Open several tabs and paste. | Compare Mode runs two to four genuinely parallel, independent streams. |
| Independent columns | Not applicable. | Each column keeps its own context and its own reply box. |
| Switching model mid-conversation | Start again somewhere else. | Switch model and the server rebuilds the conversation context. |
| Subscriptions | One per vendor. | One. |
| Cost of a multi-model send | Not applicable. | One credit per send — not one per model it runs. |
| Files and finished work | ||
| Word documents from chat | Copy, paste, reformat. | A .docx (plus PDF) produced in the conversation. |
| Spreadsheets from chat | Copy, paste, rebuild. | An .xlsx with real formulas, number formats, charts and conditional formatting. |
| Slide decks from chat | Copy, paste, rebuild. | A .pptx built from a slide specification. |
| Code files | Copy out of the chat window. | Written verbatim with the correct extension. |
| Editing an uploaded spreadsheet | Not possible. | 27 instant tools for cleaning, formulas, formatting, reshaping and validation — free after sign-in. |
| Editing code and markup files | Paste in, paste back. | Returns the edited file with the same extension. |
| PDF to Word | Not possible. | Verbatim conversion from the OCR captured at upload — no summarising. |
| Scanned PDFs | Varies, often unusable. | OCR with a three-provider fallback chain. |
| Document Studio | — | 11 templates, five modes, four formats out: .docx, .md, .html, .pdf. |
| Presentation Studio | — | 6 templates, 8 colour presets, 6 font pairings, 3–20 slides. |
| Data Studio | — | Generate workbooks, profile a dataset, or turn plain English into an Excel formula. |
| Images | One provider. | Several image models, plus editing and background removal. |
| Context and projects | ||
| Project workspaces | None. | Files, chats and standing instructions grouped per client, matter or workstream. |
| Standing instructions | Repeat them in every chat. | Project instructions reach the model on every message in that project. |
| Searching your project files | Not possible. | Keyword and full-text search across indexed project files, callable mid-answer. |
| Analysing an uploaded document | Varies by size. | Dedicated document and spreadsheet analysis, resolved by file name or id. |
| Teams and administration | ||
| Seats | Individual accounts only. | Seat-based, enforced atomically, invites expire after seven days. |
| Shared projects | Not possible. | Team projects readable and editable by every active member. |
| Audit trail | None. | Every team change appended to an audit log. |
| Billing | One invoice per vendor. | One invoice, centralised, prorated on seat changes. |
| Your data | ||
| Used to train models | Varies by vendor and plan. | Never — not by MultipleChat and not by the providers, under commercial agreements. |
| Retention by the provider | Varies. | Only as long as it takes to produce the answer. |
| Encryption | Varies. | TLS in transit, AES-256 at rest. |
| Jurisdiction | Usually the United States. | Operated by NLP GmbH in Switzerland — Swiss FADP, GDPR, UK GDPR, CCPA/CPRA. |
| Enterprise controls | Enterprise tier only, per vendor. | SSO, SAML, SCIM, audit logs, data isolation, custom residency, bring-your-own keys. |
Try it on one answer before you use it.
Paste an answer. Let other models check it. Use the version that survives review.