What Tandem is. What it can do. How to start.

Tandem is a private AI workspace where agents can see your work, use your tools, and help finish tasks with review gates.

No. Chat is one surface. Tandem also includes tasks, agents, tools, files, dashboards, terminals, plugins, and approvals.

An AI workspace is a shared operating layer where humans, agents, context, and tools live together instead of being split across tabs.

It keeps the work graph, tools, approvals, and agent history in one place, so agents improve from real operational context instead of isolated chats.

Tandem is built for ongoing work: dashboards, agents, plugins, local models, approvals, and the pages your team actually uses.

Start with a real workflow that touches multiple tools, then let Tandem turn the repeatable parts into a page, plugin, or approval-backed agent lane.

Yes. Tandem is designed to work with multiple providers, including OpenAI-style hosted models where you choose to enable them.

Yes. Tandem can route work to Claude-style providers and local models depending on your setup.

The workspace is provider-flexible, so Gemini-style model routes can fit alongside other providers when configured.

Yes. Tandem is built to work with local inference paths such as Ollama, LM Studio, and your own model hosts.

Yes. MCP-style connectors are part of the integration story for letting agents reach real tools with explicit scopes.

Not on day one. It gives you one control plane and lets you replace or hide modules as the workspace matures.

It can reduce Slack handoffs for agent work, but teams can still connect chat tools instead of replacing them immediately.

Tandem can host notes, docs, wiki, and task context, but it can also connect to existing knowledge tools.

It can cover task and project workflows, while also connecting to external issue trackers if your team keeps them.

For many agent workflows, yes. Tandem can run automations directly, while still connecting to webhook and automation tools.

It includes CRM-style surfaces and can connect to existing sales data when you want a central agent workspace.

Tandem includes dashboards and widgets because agents need live operational context, not just chat history.

Agents can research, write, code, triage, update tasks, run workflows, and prepare outputs for human approval.

You choose the gates. Sensitive actions can require review before anything touches customers, code, money, or operations.

Yes. Modules can be visible, quiet, automated, or hidden so the workspace does not become cluttered.

Yes. The sidebar is meant to reflect the work you actually run, not a fixed vendor menu.

Yes. Tandem supports workspace modes and themes so different teams can run different surfaces.

The plugin path is part of the product direction: add the surfaces, connectors, and workflows your company needs.

Yes. Operators can use the visual workspace while technical users can open deeper controls when needed.

Yes. Tandem includes code, terminal, task, review, and ship workflows for agent-assisted development.

Yes. Tandem is designed for founders who need one place for product, go-to-market, finance, and operations.

Yes. Agencies can run client workspaces, agents, invoices, content, and delivery boards from one place.

Yes. Creator flows can handle transcripts, thumbnails, scripts, schedules, and distribution tasks.

Finance surfaces can track markets, budgets, P&L, invoices, forecasts, and approvals.

Sales flows can enrich leads, score fit, sequence outreach, update CRM records, and summarize pipeline movement.

Support flows can triage requests, draft replies, surface docs, and create follow-up tasks.

Research flows can gather sources, verify claims, cite findings, and produce reports.

Legal-style flows can review contracts, summarize risk, and keep human approval in the loop.

Tandem is designed around a private workspace with local context and controlled model routes.

Your workspace can keep files and context local while only approved requests go to configured model routes.

Tandem is designed around controllable provider settings. Training behavior depends on the provider routes you enable.

You can use local model routes for many workflows, depending on the capability of your local hardware and models.

The product direction supports private and local-first operation instead of forcing every workflow through a hosted SaaS path.

Yes. Teams can use hosted or private infrastructure patterns depending on their setup.

Local inference workflows can use your available hardware when your local model stack supports it.

Yes. The local-models story is about routing work to your own inference hardware when you have it.

Local inference means the model runs on your hardware instead of sending every request to a remote provider.

Local models can reduce data exposure, lower marginal cost, and keep work running when cloud routes are not ideal.

Yes. The useful setup is hybrid: local where it makes sense, cloud where quality or scale is needed.

Yes. Tandem is built around routing work to the right provider or local model for the task.

Yes. Cost visibility is part of the workspace so agent work does not become a surprise bill.

Tandem can expose usage, budgets, and controls so teams can keep model spend in view.

Yes. Tandem emphasizes audit trails, task history, outputs, and reviewable work.

For connected workflows, Tandem is designed to keep review and history visible before sensitive changes ship.

Yes. GitHub-style code and repository workflows are part of the integrations story.

Yes. GitLab-style repo workflows can fit beside GitHub and local git flows.

Yes. Slack-style chat integrations can feed context and actions into the workspace.

Yes. Discord-style communities and support channels can become agent-visible sources.

Yes. Creator and analytics workflows can use YouTube-style inputs and outputs.

Email-style inbox and outreach workflows are part of the operating workspace.

Calendar surfaces can support planning, scheduling, and follow-up workflows.

Yes. Webhooks are a core bridge for custom systems and automation flows.

Database access should be scoped, logged, and permissioned so agents only reach what they need.

Tandem can include browser and research workflows where web access is enabled.

Creative workflows can include image generation, thumbnails, graphics, and gallery review.

Yes. Tasks, boards, task trees, and approvals are core workspace surfaces.

Yes. Docs, wiki, notes, and project memory can live beside agent work.

File workflows can be local and scoped so agents work with the right project context.

CRM-style surfaces can track leads, deals, accounts, support items, and follow-up.

Finance surfaces can track costs, invoices, markets, budgets, and P&L-style dashboards.

Social and content workflows can schedule, monitor, and draft across connected channels.

Yes. Host, device, and inference surfaces help teams manage where work runs.

Search is a central workspace behavior so you can find tasks, files, agents, docs, and surfaces.

Voice capture can turn spoken notes or commands into workspace actions where enabled.

Yes. Web and marketing workflows can assemble pages, copy, assets, and review tasks.

SEO workflows can research queries, draft pages, manage metadata, and track performance.

Marketing workflows can draft copy, generate creative, and organize campaign tasks.

Lead workflows can source, enrich, score, and route prospects into sales systems.

Developer workflows can run agents in worktrees, review diffs, run tests, and ship through approval gates.

Yes. Reviewer agents can inspect changes, summarize risks, and prepare merge decisions.

Tandem can help organize controls and evidence, but compliance claims require your own formal review.

Do not assume a certification. Tandem can support health-data safeguards, but formal HIPAA use needs the right contracts and controls.

SOC 2 language should be treated as readiness or mapping unless a completed audit exists.

Tandem can support privacy controls, but legal readiness depends on configuration, contracts, and data handling.

The product is designed around scoped access, local-first context, audit trails, and approval gates.

Agents should receive explicit scopes and only access the tools, files, and actions they need.

Secrets should be stored and routed through controlled systems rather than pasted into prompts.

The workspace is designed to preserve who did what, which agent acted, and what changed.

Most teams can begin with a small workspace and add modules as they replace scattered workflows.

No. Start with one or two high-friction workflows, then expand once the workspace proves value.

Replace the workflows where context is scattered: agent work, task tracking, research, CRM follow-up, or content production.

Yes. The point is to bring your stack into one AI-visible operating layer.

They can stay hidden, quiet, or inactive so the workspace remains focused.

Team setup depends on plan and deployment path, but the workspace is designed for shared operations.

Role and permission controls are part of the enterprise and team direction.

The current Pro offer is $50 per month, with cloud and enterprise paths priced separately.

Pro is the starting workspace plan for agents, surfaces, context, and optional modules.

Cloud starts from $100 per month depending on the hosted setup and usage path.

Enterprise starts from $10k per month for larger private, team, and custom deployment needs.

The page currently offers a 3-day money-back promise if Tandem does not replace meaningful tools for you.

Founders, operators, builders, agencies, and teams that want one AI workspace instead of many disconnected tools.

It is probably not for teams that only need a simple chatbot and do not want workspace-level control.

Start with one workflow: agent work, CRM, research, content, or local models, then measure whether it replaces tool sprawl.

This FAQ is the walkthrough. Then open Demo to see it, or Pricing when you are ready to start.