Vybe vs Zapier vs OpenAI Dots vs Viktor

Specialized coworkers with their own responsibilities and tools.

Zapier Agents can act independently or respond in chat.

One always-on primary dot per user, working 24/7 toward goals on its own cloud computer; role-based specialist dots are in enterprise preview and teams of dots are not yet available.

An AI coworker that works across business tools.

Shared conversations and Slack threads with people and AI.

Shared agents, folders, and pods.

ChatGPT Space shared workspaces with agent-editable Pages; available on Pro, Business, and Enterprise plans.

Workspace members can work with Viktor in channels and DMs.

In-app chat, Slack, and email; other channels require setup.

Agents chat on the web and run from app triggers; Slack and Teams touchpoints run through Zap triggers and actions.

ChatGPT, Slack, Teams, SMS, and voice calls.

Slack and Microsoft Teams.

Delegate work to other AI coworkers.

Not offered: work runs inside a single agent or AI step; no delegation between specialized agents documented.

Specialist dots with defined org roles are in enterprise preview; general delegation between dots is not yet available.

External agents can delegate work to Viktor through its MCP server and public API; internal multi-agent handoffs not documented.

Persistent memory, company knowledge, and reusable skills.

Connected knowledge sources; persistent learned memory not verified here.

Dots learn your preferences, how you think, and your standards from ongoing feedback.

Workspace-scoped skills and memory.

Schedules, events, and follow-ups with run history.

Agents run from configured triggers and instructions.

Team tasks act on a schedule or in response to events like a new email or Slack message; MCP events trigger automations from connected apps.

Recurring tasks and proactive automations.

Hosted browser with persistent sessions; browser service required.

Not offered: agents act through app actions and tools; no controlled-browser capability documented.

Each dot has its own cloud computer and browser; you can open your dot's computer to inspect its work, and dots can connect to your laptop with permission.

Works the web directly: logs in, clicks through pages, fills forms, and pulls data from real sites.

Supported meeting recording, transcripts, and follow-up; meeting service required.

Not offered: meeting tools connect through Zaps; no native meeting recording or transcription documented.

Meeting note-taking via the ChatGPT Meetings plugin (beta, macOS desktop); no recording or transcription.

Meeting follow-through runs through connected meeting tools like Symbl.ai, Fireflies, or Gong; native recording and transcription not documented.

Prebuilt connectors and custom integrations.

Thousands of connected apps and actions.

Connects to 4,000+ apps through plugins.

3,200+ business-tool integrations advertised.

Build apps with AI, inspect code, and iterate in a live preview.

Forms and Tables alongside workflows; a different app-building approach.

Dots can build working apps and complete PRs as part of their work; evaluate your app deployment workflow separately.

Build and deploy internal apps connected to business tools.

Private, individual, and organization-wide app sharing.

Forms and Tables sharing varies by product and plan.

Not offered: outputs live in ChatGPT and connected surfaces; no internal app-publishing surface documented.

Viktor Pages share finished documents and dashboards at links; Viktor Spaces are internal tools your team signs into.

Role-based access for owners, admins, editors, and members, with apps kept private, shared, or organization-wide.

Not offered: Tables sharing uses per-table and per-view roles (Owner, Editor, View only), not per-row permissions.

Not offered: access is governed by ChatGPT plan permission rules; no per-row data permissions documented.

Not offered: enterprise access is role-based (RBAC); no per-row data permissions documented.

SSH tunnels and custom connections for private resources.

Not offered: a cloud platform connecting through prebuilt app integrations and webhooks; no private-network or SSH access documented.

Not offered: dots run on their own cloud computer and connect through plugins; no private-network or SSH access documented.

Not offered: tools connect through cloud integrations and per-user OAuth; no private-network or SSH access documented.

29 models across 11 providers.

Agents uses a managed model; workflow AI integrations are separate.

Runs on OpenAI's GPT-6 Astra; no other providers or bring-your-own-model options documented.

Choice across OpenAI, Anthropic, and Google.

Auto routes tasks to Cheap, Balanced, or Smart tiers.

Model tiers (Standard, Advanced, Premium) selected per step with an Auto default; automatic task-category routing not documented.

Not offered: dots run on GPT-6 Astra with no automatic cross-model routing documented.

Workspace model and task-level cost presets; automatic category routing not verified.

Choose tier models, map task categories, or pin a model.

Manual tier and model selection per step; task-category routing rules not offered.

Not offered: no task-category-to-model routing rules documented.

Workspace defaults and individual scheduled-task settings.

Separate conversation and coding routing policies.

Not offered: one model policy per step; no separate coding policy documented.

Not offered: one OpenAI model experience; no separate coding policy documented.

Not offered: model governance is workspace-wide with per-task presets; no separate coding policy documented.

Bring your own provider keys as part of an enterprise setup.

Bring Your Own Model connects organization AI provider accounts on Enterprise.

Not offered: dots run on OpenAI-managed credentials; no customer provider keys documented.

Not offered: model providers run under Viktor-managed agreements; tool credentials are per-user OAuth handled by the Viktor gateway.

OpenRouter and Vercel AI Gateway.

Not offered: bring-your-own-key connects provider accounts directly; no custom gateway or proxy endpoint documented.

Not offered: no bring-your-own AI gateway documented.

Not offered: models run through the Viktor-managed stack; no bring-your-own gateway documented.

SAML single sign-on for enterprise.

SAML SSO on Team and Enterprise plans, with SCIM provisioning on Enterprise.

SAML SSO for Business, Enterprise, and Edu workspaces, configured workspace-wide via the Global Admin Console.

SAML SSO via Okta, Entra ID, Google Workspace, OneLogin, or any SAML 2.0 IdP.

Access, agent activity, and tool usage for enterprise review.

Agent activity can be reviewed; audit coverage depends on product and plan.

Compliance Logs Platform exports audit events for Enterprise and Edu workspaces; dot-specific audit coverage not documented.

Enterprise audit logging; confirm required event coverage.

Action-specific permissions and contact controls on every channel; explicit approval gates not documented.

Approval steps can be added to agent instructions.

Custom permission rules; dots request approval before sensitive actions like sending an invoice or making a purchase.

Sensitive actions can wait for explicit approval in chat.

Usage visibility and per-agent credit budgets.

In-app plan usage views and Enterprise usage alerts.

Not offered: no usage-tracking or per-agent budget controls documented; usage follows ChatGPT plan allowances.

Auto-topups with monthly spend caps; per-user spend caps on Enterprise.

Free plan with $10 in credits every month; paid plans from $20/month. $1 = 100 credits; top-ups available.

Workflows use tasks; Agents has activity-based plans.

Included with Pro and Business Premium in eligible markets; the Enterprise, Edu, and Healthcare beta is admin-enabled and off by default.

Credit-based plans from $50/month, with trial credits.

Unlimited builders and viewers in your organization.

User allowances depend on the selected plan and product.

Teammates can work with @ChatGPT in Slack or Teams without their own license; dot access follows ChatGPT plans.

No per-seat licenses; credits reflect model usage.