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Core·chat.askfinz.aiAvailable

Chat.

One conversation, every model.

Switch between AI minds in a single thread. Bring files, keep history.

One surface · every model

Multiple frontier providers, one chat thread.

askFinz Chat is the AI research surface for markets, code and beyond. Start a new conversation, pick from suggested questions or continue where you left off in your session history. Switch the model per message, compare two answers side by side, and let the router handle the rest.

Suggested prompts on the home screen cover earnings analysis, interest rate mechanics, cloud market share and anything else you want to dig into. Your recent conversations are always one click away. The live model matrix is at dash.askfinz.ai/usage/models.

Chat models

Fast, conversational defaults. The right pick when latency matters and the question is well-scoped.

Reasoning models

Deeper deliberation, longer thinking budgets. Reach for these on multi-step problems where the answer needs to be defended.

Vision-capable

Models that read images, charts, screenshots and PDFs. Drop a file, ask a question.

Code-tuned

Trained for code completion, refactoring and review. Wired into the Code workspace as well.

Long-context

Models that hold whole books, transcripts or codebases in a single window without summarising away the detail.

Frontier and open-weight

A blend of frontier providers and open-weight models. Pick by quality, by cost, or let the router pick for you.

Side-by-side compare. Branch a thread to two different models and read the answers next to each other. Keep the one that's right; the other stays in history, not in your face.

A glimpse of the room

The chat surface, animated.

A scripted walk-through — model picker, message stream and the side-by-side compare in motion. The real surface lives at chat.askfinz.ai.

chat.askfinz.ai · liveDemo
Summarise the three most cited fairness frameworks for LLMs and tell me which is most actionable.
Frontier · fast
Three commonly-cited frameworks: NIST AI RMF (process, governance), the EU AI Act (risk-tiered, regulatory) and the FAIR data principles (technical, data-side). Most actionable for an applied team is NIST RMF — concrete controls map cleanly to existing release processes.
Ask anything — agents will route between models as needed
Live product at chat.askfinz.ai

What ships today.

chat.askfinz.ai·Available

Chat is live in production. The features below are working today — not roadmap promises.

  • Switch models mid-conversation — pick the right AI for each question without starting over
  • Upload files, images, PDFs and spreadsheets — the model reads them and answers in context
  • See cost and latency per message — know what you're spending and how long each answer took
  • Thread history that persists — every conversation is saved and resumable
  • Model routing that suggests — picks the right model for your question type, or switch by hand
  • Markdown, code blocks and syntax highlighting — answers render cleanly with proper formatting
In practice

Anyone who switches between AI tools to get different answers can now do it in one thread. Pick the model that suits the moment, bring in a file or image, and keep the whole conversation in one place. History is always there when you need it.

Read the guide: How AI chat across every model works

See also — other core workspaces.

Chat shares one login, one memory and one model layer with every other workspace under askfinz.ai.

Browse the rest of the catalog at /apps.

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