Mission Control is our next-generation agentic research and execution platform. It represents a fundamental shift in how we interact with AI—moving away from rigid pipelines and chat interfaces, and stepping into the era of autonomous, goal-oriented swarms.
Repath 'Ray' Khan, Founder of LeemerChat
LeemerChat Engineering
We are thrilled to announce Mission Control, our next-generation agentic research and execution platform. It represents a fundamental shift in how we interact with AI—moving away from rigid pipelines and chat interfaces, and stepping into the era of autonomous, goal-oriented swarms.
"Drop a Mission. Get Intelligence."
If you've used our Deep Research or Auto Research features, you know the power of AI-driven analysis. But we asked ourselves: What if the AI didn't just give you a text report? What if it could write code, deploy live applications, crunch CSVs, and generate audio podcasts—all from a single objective?
That's the vision behind Mission Control.
At its core, Mission Control treats every user request as a Mission—a high-level, goal-oriented task that an autonomous AI system plans, executes, and delivers through tangible Artifacts.
Unlike traditional deep research tools that follow a strict "quiz → search → synthesize" loop, Mission Control operates as a self-organizing swarm of specialized agents. When you drop a mission, the system dynamically spawns exactly the right team for the job.
Need a dashboard to visualize data? It spins up a Code Agent, executes the code in a secure sandbox, and deploys a live website for you automatically.
Need a deep dive into market trends? It spawns Research and Data Agents tailored precisely to your objective's complexity and scope.
The user doesn't ask for a "research report"—they drop a mission objective. The system figures out what's needed and delivers it.
To make this happen, we've restructured how the AI thinks about your requests into four evergreen concepts:
The evergreen definition of your goal, including policies, output contracts, and schedules.
A single execution of that mission (whether triggered manually, on a schedule, or via webhook).
The tangible outputs generated by a run (e.g., Reports, Datasets, Web Apps, Podcasts).
The hosted surfaces for web and app artifacts, ensuring you always have a stable, versioned URL.
Powering Mission Control is our orchestrator model, codenamed Cortex. Cortex acts as the mission commander. It:
Because Cortex can route tasks to different specialized models (like Gemini, Claude, or Qwen) and utilize a vast Tool Arsenal (Exa, Firecrawl, E2B sandboxes), it is unbound by the limitations of a single model's context window or capabilities.
Mission Control doesn't just read the internet; it interacts with it. Thanks to integrated E2B and Vercel sandboxing, the agent swarm can write code, run Python scripts to process data, generate charts, and spin up live web applications.
Your final result isn't just a markdown file—it could be a fully functional interactive calculator, a downloadable CSV, or a synthesized audio podcast summarizing the findings.
The world doesn't stop, and neither should your research. Mission Control introduces Evergreen Missions. You can set a mission to refresh weekly or on specific triggers. The system will run the mission again, compare the new facts against its Evidence Ledger, and highlight exactly what changed in a clean diff view. It's like having a team of analysts permanently assigned to monitor your most critical topics.
Mission Control is positioned to become the central hub for all agentic workflows, eventually consolidating Deep Research, Auto Research, and the Leemer Agent into one unified, powerful experience.
We are currently building out the Mission Control interface at control.leemerchat.com, bringing real-time telemetry, agent task cards, and live event feeds so you can watch your swarm work in real-time.
The swarm is standing by. Welcome to the future of autonomous execution.
Launch Mission ControlUnlike traditional deep research tools that follow a strict 'quiz → search → synthesize' loop, Mission Control treats requests as Missions and dynamically spawns a self-organizing swarm of specialized agents (Cortex) to generate multi-modal Artifacts like apps, datasets, and podcasts.
Mission Control doesn't just return text. It can execute code in secure sandboxes to produce live interactive web apps, crunch CSVs, generate data visualizations, and even synthesize audio podcasts of its findings.
Evergreen Missions allow you to set an objective that refreshes on a schedule (e.g., weekly). The agent swarm runs the mission again, compares new facts against its Evidence Ledger, and highlights exactly what changed in a clean diff view.
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