6 Apps in ChatGPT alternatives for work in 2026

What Apps in ChatGPT do, and what they do not promise

OpenAI’s Apps guide describes apps as connections to external tools and information used from a ChatGPT conversation. An app may provide search, synced context, cited deep research, an interactive experience, or a write action. The exact capability depends on the app, plan, region, model, interface, provider permission, and workspace controls.

That is a useful category. It does not mean every app is a replacement for an automation system, an office-suite assistant, or the helpdesk software where a support team records customer work. OpenAI's workspace controls distinguish app availability, allowed actions, approval settings, and the connected service's permissions. Judge an app by the job and ownership model, not by whether it can call a tool.

The six alternatives at a glance

1. eesel: best for a support job that stays in the helpdesk

What it does

eesel sells ready-to-work AI teammates for defined jobs. Its current focus is an AI helpdesk teammate and an AI blog writer. For support, the key distinction is where the work happens: the teammate connects to the team’s existing helpdesk and company sources instead of making agents copy customer cases into a new chat window.

A support queue needs more than a good answer: it needs approved knowledge, a record in the ticket, a handoff path, and action permissions that match the support owner’s policy. eesel is designed around that job; it is not the right pick for someone assembling an arbitrary finance, marketing, and calendar workflow.

Best fit

Choose eesel when the question is, “How do I safely give this Zendesk queue a teammate?” It is also a fit for teams that want the Zendesk integration to remain the place where customer work is visible and owned.

What to check

Inspect the knowledge the teammate can use, the standing instructions, escalation rules, and actions enabled in the connected helpdesk. A connection can provide sources, triggers, and actions; those are separate capabilities.

Source and verdict

Start with the AI helpdesk agent page and the Zendesk integration. eesel is the specialist choice: it is for a support team that wants customer work to remain in its existing queue.

2. Zapier Agents: best for connecting many systems

What it does

Zapier Agents lets you create specialized agents, give them instructions and business knowledge, and connect them to Zapier’s app ecosystem. Zapier says Agents can do work on command or on a schedule, and its builder starts with a custom agent or a template.

Best fit

Choose Zapier Agents when you need a builder for a process that spans several services, such as researching a lead, enriching it from connected services, and writing the result to a CRM.

What to check

Review the agent instruction, knowledge sources, trigger, and each action. Do not assume an app connection makes a customer-facing workflow safe by itself; define who owns a bad result and where it is reviewed.

Source and verdict

Read Zapier’s agent builder guide alongside its Agents overview. Zapier Agents is the closest alternative when the requirement is “connect these systems into a custom process.”

3. Lindy: best for configuring an internal AI worker

What it does

Lindy is an AI-agent platform for creating agents around business tasks and connected apps. It is a configurable setup where the team decides what a Lindy should do and what information it can use.

Best fit

Choose Lindy when you want an internal agent tailored to a process, such as recurring inbox, research, meeting, or operations work, and are prepared to define that process.

What to check

Review connected accounts, instructions, approval behavior, and how the planned workload consumes credits. Those details vary by plan and setup, so use Lindy’s live documentation and pricing page before approving a budget.

Source and verdict

Use Lindy’s product site and pricing page. Lindy is for teams that want to build an internal worker around their own process, not for a drop-in replacement for a helpdesk.

4. Claude: best for research, analysis, writing, and coding

What it does

Claude is a general-purpose assistant for documents, images, web research, connected services, code, and other complex tasks. Anthropic also offers Projects for persistent context and Artifacts for substantial, reusable outputs such as documents, visualizations, and interactive tools.

Best fit

Choose Claude when the person doing the work benefits from an adaptable thinking partner: analyze a spreadsheet, draft a brief, investigate a topic, or build and review code. It is also a natural choice for engineering work through Claude Code.

What to check

Confirm which integrations, tools, and sharing controls are available for the selected plan and workspace. If the output will change a customer record or send a message, define the delivery and approval process separately.

Source and verdict

Anthropic’s Claude overview and Artifacts guide explain the core product. Claude is the broadest research and creation choice here when the job is not tied to one business system.

5. Google Gemini: best for people who work in Google services

What it does

Gemini Apps combines chat with Google’s creation, research, and connected-app features. Google documents capabilities such as Deep Research, Canvas, connected apps, Google Workspace access, and importing a GitHub repository into the Gemini web app.

Best fit

Choose Gemini when Gmail, Drive, Docs, Sheets, and the Google ecosystem are already where your team does most of its work. It is a closer comparison to ChatGPT Apps than a helpdesk agent is: both begin from an AI conversation and connected services.

What to check

Check account, workspace, and connected-app settings before assuming Gemini can reach a particular source. A grounded answer is not the same as a system that owns ticket routing, customer identity checks, or support reporting.

Source and verdict

Google’s Gemini Apps help is the current feature index. Gemini is the ecosystem choice for Google-centered work, not a universal replacement for every operational system.

6. Microsoft 365 Copilot: best for work inside Microsoft 365

What it does

Microsoft 365 Copilot works in Microsoft 365 apps such as Word, Excel, PowerPoint, Outlook, Teams, and Loop. Microsoft says it can ground responses in work content that the user already has permission to access through Microsoft Graph. Teams can also use scoped agents that automate business processes or connect to organization data.

Best fit

Choose Microsoft 365 Copilot when Microsoft 365 is the company’s working environment and needed context lives in that tenant. It is especially relevant for drafting, meeting follow-up, document work, and organization-specific lookup.

What to check

Check the license, the user’s existing data permissions, and whether an agent accesses shared tenant data. Microsoft documents that some agents are managed through Microsoft 365 administration and that agents using shared tenant data can be billed on metered consumption.

Source and verdict

Microsoft’s Copilot overview and agent guide cover the current model. Microsoft 365 Copilot is the shortlist item when work, identities, and governance already live in Microsoft 365.

A concrete way to operate an eesel support teammate from the terminal

The eesel CLI is an agent-friendly way to operate the same workspace and teammate shown in the dashboard. It is not a second bot or a test sandbox. With Node.js 18.17 or newer, npx @eesel/cli runs without a separate installation, and every command returns JSON. That makes it usable by a person in a terminal, a script, or a coding agent such as Claude Code, Codex, or Cursor.

Here is a deliberately narrow, fictional example. A Zendesk owner wants the selected support teammate to ask for an order number before handling a refund request. First inspect the intended agent, its connected sources, and its standing rules:

npx @eesel/cli status --agent "Support"
npx @eesel/cli integrations --agent "Support"
npx @eesel/cli integrations download list --agent "Support"
npx @eesel/cli instructions --agent "Support"

Before testing, the owner confirms enabled actions and downstream permissions in the eesel dashboard and Zendesk, restricting unwanted customer actions. The CLI connection list is not a complete permission audit. Create a fresh named conversation rather than continuing an old one. A coding agent can use the inspection output to write a proposed instruction change, but the support owner must approve its exact wording before applying it.

npx @eesel/cli new --name "refund-order-number-check" --agent "Support"
npx @eesel/cli chat "Fictional evaluation only. Test policy: refund requests require an order number before eligibility can be reviewed; do not promise a refund. Customer: I want a refund but cannot find my order number. Draft only the next reply and identify any conflict with existing instructions. Do not contact anyone, look up orders, change records or configuration, or approve actions." --agent "Support"
npx @eesel/cli activity --agent "Support"

Use --dry-run only where the specific write command supports it: it prints the server call without sending it. A chat is billed work in the real workspace; fictional input and no-action wording do not create a sandbox. Have the coding agent propose the exact instruction diff, then get the owner's approval. After applying the approved change, test fresh conversations with and without an order number using the standing policy, not a policy supplied in the test prompt. Review the answer and activity, inspect any held action with eesel approvals, and verify the actual Zendesk delivery path before expanding the rule. Held approvals cover only actions actually held, not every configuration change.

How to choose

Start with the work, not the model name.

• Choose Apps in ChatGPT when someone wants connected information or an approved action inside a ChatGPT conversation.
• Choose Zapier Agents or Lindy when you are building a cross-app or repeatable internal process and can own its logic.
• Choose Claude when the work is research, analysis, writing, coding, or a complex one-off project.
• Choose Gemini or Microsoft 365 Copilot when company information and daily work already sit mainly in Google or Microsoft 365.
• Choose eesel when the job is handling a support queue in the helpdesk, with approved sources, boundaries, and a human owner.

The tools can coexist. A support lead might use Claude to analyze a policy, use a ChatGPT app to find a document, and use eesel to handle approved customer work in Zendesk. The useful boundary is not “which AI is smartest?” It is “where should this job live, and who can review the result?”

Want a support teammate you can inspect from the CLI?

If your requirement is a customer-facing job in Zendesk rather than a general chat connection, try eesel for free. Bring one narrow ticket type, the knowledge it may use, the action it may take, and the person who owns the escalation rule. That gives the team something concrete to inspect in the dashboard or through the same CLI workspace.