AI Specialist
You want to build an in-app AI agent. You don't have to start from scratch.
You've been evaluating LLM frameworks, prompt chains, and UI widget libraries. You know the problem space. Tandem gives you a production-ready agent that sees the screen, acts on it, and deploys in days. So you can test the concept before committing eng quarters to building it.
You can build it. The question is whether you should.
Building an in-app AI agent from scratch means prompt engineering, screen parsing, action execution, safety rails, UI components, session management, analytics, and ongoing maintenance. Your team can do it. It'll take two to three quarters. Meanwhile, the use case you want to test sits in a backlog. Tandem lets you validate the concept in a week and decide later whether to build or keep buying.
Proof of Concept
Test the concept in production. Not in a deck.
You've been asked to evaluate whether an in-app AI agent can improve onboarding, support deflection, or feature adoption. You need real data, not a prototype that only works on a staging environment with scripted inputs.
Tandem deploys on your production app in days. One script tag. No backend integration. You get a working agent that interacts with your actual interface, your real users, and your live data. The proof of concept runs on production traffic, not test scenarios.
Live on production in under a week. Real user interactions. Real data to make the build-vs-buy decision.
Architecture
Screen parsing, action execution, and safety rails. Already solved.
The hard parts of building an in-app agent aren't the LLM calls. They're the screen understanding layer, the action execution engine, the safety rails that prevent the agent from doing something destructive, and the analytics pipeline that tells you what happened.
Tandem handles all of this. It maps your interface elements, understands page state, executes actions within defined boundaries, and logs every session with full replay. You get the architecture without the multi-quarter engineering investment.
Element-level screen awareness. Controlled action execution. Session replay and analytics. All production-ready.
Build vs. Buy
Use the data to make the decision. Not a spreadsheet.
Every AI team faces the same question: build in-house or buy a platform? The honest answer is that you don't know which is right until you've seen the use case run in production. Spreadsheet comparisons don't capture the edge cases, the user behavior, or the maintenance burden.
Run Tandem for a month. Measure adoption, deflection, activation lift. See the session data. Understand the edge cases your users actually hit. Then make the build-vs-buy decision with real evidence instead of estimates.
One month of production data. Then decide: keep Tandem, or build your own with the learnings. No lock-in.
DOM-level screen awareness
Tandem maps every element on the page: fields, buttons, dropdowns, modals, dynamic content. It reads screen state in real time, not from a static sitemap. It knows what's visible, what's disabled, and what changed.
Controlled action execution
The agent can click, fill, navigate, and complete multi-step flows. Actions are bounded by configurable permissions. You define what the agent can and cannot do. Every action is logged and replayable.
Knowledge base integration
Connect your docs, FAQs, and help center. The agent answers questions using your content, scoped to the page the user is on. Refreshable per page. No stale or hallucinated responses.
One-snippet deployment
A single script tag added to your app. No backend changes, no API integration, no SDK to maintain. Works with any modern web app: React, Vue, Angular, vanilla JS, or server-rendered pages.
Session analytics and replay
Every agent session is logged: user questions, agent actions, screen states, outcomes. Cluster patterns across sessions. Replay individual interactions. Export data to your own analytics stack.
White-label, fully embeddable
Custom name, custom styling, custom positioning. The agent lives inside your product as a native component. Your users never see "Tandem." Your brand, your experience, your agent.








