Saved Prompts is no longer available in Babbily. We made this change after seeing low usage and as Babbily continues to evolve toward more agentic ways of working. What this means:

Saved Prompts is no longer available.

You can no longer create, edit, or open Saved Prompts in Babbily.

Use memory for context you want reused.

Memory can carry stable preferences, work context, recurring projects, tone, audience, and formatting choices into future chats. This reduces how much setup you need to repeat.

Use prompt patterns for repeatable tasks.

Start with a consistent goal, context, audience, constraints, and output format. Keep task-specific instructions in the chat so you can adjust them as the work changes. You can also use a Skill when one fits your workflow.

Keep Finance context through follow-ups.

Start from a market overview, company, earnings event, or prediction market and continue asking questions without reselecting Finance research. Supported Finance threads preserve the page context and your tool choice across follow-ups, page reloads, and Retry.
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​Control Finance research with Auto, Manual, or Off.

In a supported Finance thread, Auto uses Finance research automatically. Manual starts with Finance research enabled for that thread, and you can remove it. Off keeps the reply model-only.

Get stronger source coverage for financial questions.

Finance research now handles live quotes, historical periods, earnings, peer comparisons, and multi-company filing research more consistently. It checks requested coverage, keeps citations with the answer they support, and uses primary filings when available.
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​See clear limits instead of unsupported figures.

When a company does not report a requested metric separately, Babbily explains what is unavailable and can suggest a related figure that is reported. Ambiguous company names or missing evidence may produce a clarification or limitation instead of a guess.
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​Build full reports with the Deep Research Agent.

Choose Deep research for a broad question. Babbily plans sub-questions, opens the outline in Canvas, gathers and verifies sources, and streams a cited report while it works. Chat keeps a short summary, and the full report stays in Canvas for review, editing, and export.
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​Keep useful work when a long run is interrupted.

If research reaches its time limit, Babbily keeps the report and tells you its coverage is partial. If report writing reaches its limit, the report is preserved and labeled incomplete. If a selected connector action needs approval, the request appears inline in the conversation; the report pauses and can continue after you approve it.

Babbily now keeps personal and team work in distinct workspaces. You can switch between Personal and every team workspace you belong to, collaborate with teammates without making work public, and keep an individual plan alongside a team plan.

What’s new

Switch between workspaces.

Open your account menu to choose Personal or a team workspace. The workspace pill in the sidebar shows where you are working. Chats, Saved Prompts, Library items, and memory stay with the workspace where you created them, so switching workspaces does not move existing work.

Share work with your team.

From a team workspace, you can share a chat or supported saved media with specific teammates or everyone in the team. Recipients find it under Shared with you in Library. Shared team chats are read-only, and access lasts only while the recipient remains a team member.

Use Shared team memory.

A team owner can turn Shared team memory on from Settings > Team. When it is on, useful facts from team-workspace chats can become shared context that current members can use in team chats. Personal memory remains separate. Authors and the team owner can delete eligible shared entries, and turning the setting off stops new additions.

Keep personal and team plans side by side.

Joining or creating a team no longer requires your individual plan to disappear. Your Personal workspace and team workspace show their own plan context, and owners manage a team plan from the team workspace they own. If a team plan becomes inactive, Babbily labels that workspace Plan inactive — read-only until access is restored.

Kimi K3 and Gemini 3.6 Flash.

Kimi K3 is available for long-horizon coding, agentic workflows, and large-context knowledge work. Gemini 3.6 Flash is available for fast coding, agentic work, and web development.

Three new frontier models are live in Babbily. Coding benchmarks below are from Cursor's own eval suite (cursor.com/evals), current as of today.

GPT-5.6 (Sol, Terra, Luna) — GPT-5.6 Sol Max ranks #3 overall at 67.2%, trailing only Claude Fable 5 Max (70.5%) and Fable 5 Extra High (68.4%). Terra Max scores 64.9% at roughly half the cost of Sol Max. Luna is the fast, low-cost tier.

Grok 4.5 — Grok 4.5 High scores 66.7%, ranking #4 overall, half a point behind GPT-5.6 Sol Max, at $1.51 per task versus $5.22, about 3.5x cheaper for nearly the same score.

Note: Cursor marks Grok 4.5's entries with an asterisk, tied to a reported training contamination issue (a Cursor codebase snapshot was inadvertently included in its training data). Worth checking Cursor's footnote before citing this externally without caveat.

Muse Spark 1.1 — Meta's upgraded flagship model, built for coding, debugging, multi-step agentic tasks, and multimodal reasoning across text, image, and video.

All three are available now in your model picker.

Babbily can now send a push notification when a chat, image, or video finishes running in the background.

What’s new:

• Turn on chat completion notifications after your first prompt or anytime in Settings > Account > Notifications.

• Step away from the tab and Babbily will let you know when the work is ready.

• Notifications are fully optional and can be turned off anytime.

• Settings now also includes a direct Documentation link under Learn more.

This is especially useful for longer generations, research-heavy chats, image creation, and video runs.

Claude Sonnet 5 is now available in Babbily.

Sonnet 5 brings Anthropic’s newest frontier model into the Babbily model picker, giving teams a stronger default for deep reasoning, writing, coding, analysis, and complex multi-step work. Sonnet 4.6 is still available, but it has been moved into sunset status as Sonnet 5 becomes the recommended Sonnet model.

Also added:

• GLM 5.2 Fast as a fast-mode option for GLM 5.2

• Nano Banana 2 Lite for lighter-weight image generation

• Updated model ordering and catalog metadata so the selector reflects the newest recommended models first

Babbily now supports passkeys for faster, passwordless sign-in on supported browsers and devices.

You can add a passkey using Face ID, Touch ID, Windows Hello, a password manager, or a hardware security key. Once added, you’ll see Sign in with passkey on the web login screen.

New users may be prompted to add a passkey during setup, and existing users can add, rename, or remove passkeys anytime from Settings > Account.

Passkeys are currently available on web browsers. Native app passkey support will come later.

Babbily now includes a full Finance area for market research, company pages, earnings, prediction markets, and watchlists. News also has richer discovery, source-backed article generation, local context, and market highlights in the side rail.

What’s new

Finance in Babbily.

Open Finance to review US markets, crypto, earnings, prediction markets, market summaries, company pages, price charts, key issues, analyst context, peers, and historical data where available.

Watchlists and company research.

Add companies to a watchlist, open company pages from market rows, and ask follow-up questions from a Finance page with the page context already attached.

Richer News discovery.

News now supports topic tabs, location-aware discovery, source citations, generated article views, article follow-up chat, weather, market outlook, and trending company links.

Better performance and fallback behavior.

News and Finance data now refresh more smoothly, keep recent results available during temporary provider issues, and load common market and news panels faster.

We’ve added three powerful new models to Babbily: Sakana Fugu Ultra, Kimi K2.7, and GLM 5.2.

This update gives Babbily users even more choice across reasoning, coding, long-context work, and agentic task execution.

What’s new

Sakana Fugu Ultra

Sakana Fugu Ultra is now available in Babbily.

Fugu Ultra is different from a traditional single-model experience. Instead of relying on one model to answer every prompt, it coordinates multiple frontier models, routing work to different agents depending on the task and combining the results into one final response.

This makes it a strong option for complex prompts that benefit from multiple perspectives, stronger reasoning, and deeper task review.

Best for:

• Advanced reasoning

• Scientific and technical analysis

• Code review

• Complex multi-step prompts

• Comparing and synthesizing multiple approaches

Kimi K2.7

We’ve also added Kimi K2.7, a coding-focused model built for long-context software engineering tasks.

Kimi K2.7 is designed to follow instructions more reliably in long contexts, perform better on extended coding tasks, and support agentic workflows where the model needs to reason through multiple steps.

Best for:

• Coding

• Debugging

• Multi-file reasoning

• Long-context development work

• Agentic software tasks

GLM 5.2

GLM 5.2 is now available in Babbily as well.

GLM 5.2 is built for long-horizon software engineering and agentic coding workflows. With a large context window, it is especially useful when users need to work across larger projects, longer files, deeper instructions, or extended planning sessions.

Best for:

• Long-context coding

• Repo-scale reasoning

• Multi-step engineering workflows

• Refactoring support

• Technical planning

Why this matters

Babbily is built to give users access to the best AI models in one place. With Sakana Fugu Ultra, Kimi K2.7, and GLM 5.2, users now have even more flexibility to choose the right model for the task.

Whether you’re writing, coding, researching, analyzing, planning, or building, these new models expand what you can do inside Babbily.

They are available now.