API tools
Talk to software through APIs. Most office software has none, a partial one, or one the vendor charges extra for.
No setup. No prompts. No help. No code.
LaunchAI ADK is a desktop application that lets anyone build, run, and manage AI agents for real office work. Talk to the Studio in plain English, show your screen where words fall short, and watch the Studio validate your steps and logic… that's pretty much it!
No APIs or MCPs or connectors or setup required. It visually navigates your workflow, thoroughly documents it, builds a runnable Agent, schedules future runs, monitors results, and notifies you per your criteria. The agent runs locally on your machine, in your browser, with your logins and your IP, so nothing gets blocked or bot-detected. Every click, every keystroke, every decision is done exactly the way a human would do it.
Most office work happens between systems, not inside them. A scanned form in one window, a vendor portal in another, a spreadsheet carrying countless tabs and logic, a legacy ERP that was built as a Windows desktop application. Read from one screen, decide, and type into the next.
It lands on whoever knows the process, it's not easy to train on, and it has resisted every automation wave so far.
The reason is structural:
Talk to software through APIs. Most office software has none, a partial one, or one the vendor charges extra for.
Run in data centers and get blocked.
Replays clicks and breaks when a button moves.
Answer questions and do nothing else.
Vision Layer Interface
The Vision Layer Interface is the company's answer to the integration problem. For every action, it captures the screen, identifies what is on it, locates the target to the pixel, acts through the operating system, and confirms the screen changed as expected. Read, click, type, scroll, verify.
The consequence is coverage. Any application a person can open, an agent can operate: the terminal-green inventory system, the county permit portal, the PDF that is really a photograph of paper. Nothing is installed on the other end. No vendor is asked for anything.
Before an agent runs, LaunchAI can train on each application, mapping every menu, button, and page into a navigation tree the whole company reuses. In-run decisions fall, cost falls, and a vendor's redesign becomes a re-initialization rather than a rebuild.
Explore the Vision LayerStudio
The Studio replaces the endless prompting. Explain the job as you would to a new colleague; show it when explaining is hard. The Studio asks a question only when the answer changes what the agent will do. Mention a “hard rule” and it is recorded as one. Mention a lookup and it automatically creates a user-friendly table.
Then it proves it understood. As each step is described, the Studio performs it on the live application while you watch. A wrong file, a wrong button, a missing condition: caught, corrected and approved instantly. Most first agents are finished in minutes.
The documentation is a by-product: a flowchart of every step, with a screenshot and a short clip of each, generated as you talk.
Explore the StudioAtomicity
Every workflow is decomposed into atomic steps: one smallest possible action, single decision, or one human review per step, each with a defined input, an expected result, and its own unique record.
The principle underpins how databases and other software systems stay reliable. Applied to agents, it means the model is never told to “do” anything which cannot be explicitly defined in atomic steps, eliminating vagueness and limiting each step to one possible outcome. If a failure happens, it is isolated to a single step with a screenshot of what the agent saw.
Explore AtomicityDual-Rule Engine
Decisions run on two engines.
Both can operate inside a given workflow. The Deterministic Engine is especially useful for finance and accounting workflows.
Explore the Dual-Rule EngineHuman review
An approval step can be placed anywhere in a workflow, or nowhere. The agent stops, presents the record beside the source document, and waits. Approve, reject with a reason, correct a value, or supply the fact it lacked. It resumes where it paused.
The handoff runs both ways; a person can take over mid-run and hand the work back.
Explore Human ReviewAudit trail
Every action is recorded with a screenshot before and after, the target marked, the value extracted, the rule fired, the branch taken, the approver named, and the time stamped.
Open any run, click any step, and see what the agent saw. Trace a wrong value to its source screen in under two clicks. Export the package for an auditor. Retention is set by you; storage never leaves your machine.
Explore the Audit TrailRun console
One easy-to-use console schedules runs, starts them on demand, or triggers them from a file, an email, or a table row. It shows live status, history, exceptions, and hours returned per workflow.
Pause, abort, retry from the failed step, swap in a newer model, edit one rule or one branch, and publish. Machines are enrolled and revocable; a spare desktop can work through the night.
Explore the Run ConsoleRuns locally
The recommended posture is to stay logged in. The agent works inside sessions you opened and never sees a password. Where a credential is unavoidable, it lives in an encrypted vault the agent can use but not read out, masked in every log.
Each workflow is scoped to the applications and folders it needs; each person to what they may build, approve, edit, review, or run.
Explore running locallyWhat ships
Pre-configured on Mac, Windows, and Linux. Components are modular; models, protocols, and tools swap without a rebuild.
Support is a panel inside the tool, answered by a real human with full screen-sharing and audio interaction.
LaunchAI is not another LLM Agent orchestration tool. It is for the people whose day runs on workflows involving ERPs, emails, file sharing systems, multiple portals, scanned docs, shared spreadsheets, desktop apps, and software without integrations.
If the work already lives in well-connected SaaS, other tools will do. But if you're like most people dealing with messy office work that has you stuck behind a screen for hours, you will love it!
Per step, yes. Per job, faster than the person freed, and no integration project to wait for.
The agent looks before it acts. Small changes it absorbs; large ones it flags, and one step is fixed.
It stops, records what it saw, and asks. It does not guess.
No. A hook exists on every step for those who want it.
Nowhere. Processing stays on the machine, inside the network.
Deterministic rules, no model in the loop. Signatures wait for a person.
Download. Install. Open the Studio and explain one job. Tomorrow it runs without you.
One package for Mac, Windows, or Linux.
Pre-configured. No APIs, connectors, or setup.
Open the Studio and talk it through; show where words fall short.
Scheduled, monitored, and notifying you per your criteria.
Predictable, repeatable agents
Eliminate integrations
Build by talking and showing
No hallucinated decisions
Approve, reject or modify
Every action, verifiable
Your machine, your logins
Schedule, inspect, trigger
No prompts. No babysitting. No dumb questions.