WorkLLM
Vs
Instinct
Instinct is an invite-only personal AI agent you reach entirely by text or phone call, connected to your email, messages, and calendar. WorkLLM converts your company’s everyday work into AI agents that run it automatically, no technical expertise required.
This page compares how WorkLLM and Instinct work in practice so you can choose the right product for your company.
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WorkLLM Vs Instinct
What each product is best at
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Full Comparison - WorkLLM vs Instinct
Asking AI
| Capability | WorkLLM | Instinct |
|---|---|---|
| Multi-model access and comparison |
Access 200+ models, including GPT, Claude, Gemini, Llama, and Mistral,
from one chat interface, and compare up to 4 side by side on the same prompt.
|
The underlying model isn't publicly disclosed, no model choice or comparison for the user at all.
|
| AI Answers, websearch & research capabilities |
Get cited, up-to-date answers with web search, plus deep research using specialized models,
right inside your workspace.
|
Can browse and research as part of completing a personal task through its own browser.
|
| Chat with documents |
Upload and chat with PDFs, Word files, spreadsheets, and presentations,
grounded in your projects and organization memory.
|
Not positioned around business document work,
there's no app interface to upload or view documents in at all.
|
| Remembers your preferences and context |
Remembers your personal preferences, stays consistent within a conversation,
and carries context across a shared project, with your consent and control.
|
Genuinely deep personal memory, but independently reported to sync data
(like iMessages) even after a user explicitly declined access,
and with no way to turn memory off.
|
| AI answers grounded in your company knowledge |
Every answer can pull from your company's own documents, decisions,
and past work automatically, not a generic guess.
|
Memory is built around one individual's personal life,
not a structured, company-wide knowledge layer.
|
Getting the work done
| Capability | WorkLLM | Instinct |
|---|---|---|
| Create docs, sheets, slides, flowcharts, wireframes and diagrams |
Docs, sheets, slides, flowcharts, and diagrams,
delivered as an actual file or visual you can use immediately.
|
No app or interface to view or generate this kind of output at all,
it works entirely through a text thread.
|
| Create & edit images, video & audio |
Supports generating and editing images directly in chat;
for video and audio, it understands but cannot create or edit them.
|
Not positioned around media generation.
|
| Write & debug code |
Coding models help with generation and debugging inside the chat interface,
not directly in your codebase.
|
Not built around coding assistance.
|
| Write in your brand's voice and tone |
Every generated document, email, or piece of content can pull your brand voice,
tone, and business context from organization memory automatically.
|
No organization memory or brand-voice layer,
personal, not business-scoped.
|
| Do your work in your work apps |
Ask in chat, and get data from your CRM, send a message in Slack,
or update any record in any tool connected natively or through MCP.
|
Connects to personal email, messages, calendar, screen, audio, and location,
not business tools like a CRM or Slack.
|
Automating the work
| Capability | WorkLLM | Instinct |
|---|---|---|
| Ready-made agent library for your workflows |
A library of ready-made AI agents for sales, marketing, HR,
product, operations, and more,
each built to work across multiple apps in one run.
|
A single, general-purpose personal agent,
not a library of named, role-specific business agents.
|
| Automate your workflow in minutes |
Describe your workflow in one prompt,
and see the exact steps the AI agent will take before it runs,
edit any step, and choose a model per step.
|
Independently reported to have no visible plan or approvals log at all,
"it just can't touch the UI it's sitting in,"
a real, confirmed transparency gap.
|
| Run your workflows in your work apps |
An AI agent can act directly inside 100+ natively connected tools,
or any other tools through MCP,
no waiting for a native integration to be built.
|
Acts inside personal life categories,
genuine for that purpose,
but not built to reach business tools at all.
|
| Full transparency: review every step, or approve as it runs |
See the exact steps an AI agent will take before it runs,
edit any step, and decide whether it runs fully on its own
or holds for your approval.
|
Independently confirmed to have no visible approvals log,
a real, documented gap in reviewability.
|
| Governance & usage: version history, run reports, and spend tracking |
See exactly who ran each AI agent,
how many times, what model it used, and what it cost,
with full execution logs down to the individual run.
|
No published pricing, no disclosed model,
and no confirmed usage reporting of any kind
during its current private beta.
|
| Shared AI agents across your workspace |
Once an AI agent is built, anyone in the workspace can use it,
and it always runs from the current version,
so updating it once means every future run reflects that change automatically,
for everyone.
|
Built entirely around one person's own personal agent,
no shared workspace or team concept exists.
|
Working with your team
| Capability | WorkLLM | Instinct |
|---|---|---|
| Co-prompting, commenting, & tagging colleagues on AI answers |
Multiple people work inside the same AI thread,
co-prompting, commenting, and tagging each other,
so a conversation becomes shared work, not a private one-off.
|
A single-user personal agent reached by private text thread,
no shared or team experience of any kind.
|
| Shared team projects |
A project holds multiple folders, each with its own memory,
and anyone with access can start a thread or add context,
so the whole project builds shared knowledge.
|
No structured, shared project system,
everything is scoped to one individual's personal account.
|
Security and control
| Capability | WorkLLM | Instinct |
|---|---|---|
| Tenant isolation and deployment options |
Enterprise customers can run on dedicated,
physically isolated infrastructure,
a private VPC with your own servers and storage.
|
Runs on its own dedicated machine per user,
a real form of isolation,
but no business-grade tenant or deployment option,
it's an invite-only consumer beta.
|
| Encryption and single sign-on |
Data encrypted at rest and in transit,
with SAML-based SSO for enterprise deployments.
|
No SSO or enterprise authentication model,
a personal, invite-only consumer account.
|
| Access control, audit logs & guardrails, on every plan |
Role-based permissions, audit logs,
and input/output guardrails included by default,
not gated behind a higher tier.
|
No RBAC or visible audit log for the user,
independently confirmed,
and no way to disable memory collection at all.
|
| Your data is never trained on or retained |
Customer data isn't used for model training,
with zero data retention at the LLM layer.
|
Independently reported to opt users into AI training data collection automatically,
with no way to turn it off,
and to sync personal data even after access was explicitly declined.
|
| Admin dashboard and governance |
A central admin dashboard with usage analytics per user and per agent.
|
No admin dashboard or org-wide governance,
built entirely around one individual's own personal,
invite-only account.
|
Disclaimer: Information about Instinct is based on publicly available documentation and product information as of September 2026. Features, pricing, and capabilities may change over time.
WorkLLM Vs Instinct
When To Choose Which
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