TL;DR
Leemer Analyst is a persistent research bot that wakes inside its own E2B VM, remembers the workspace, verifies claims, and turns research missions into source-backed reports, dashboards, notebooks, spreadsheets, podcast briefs, calculators, and private sites.
The next research product cannot be another chat box that gives one answer and forgets the room. Serious research is messy. It has follow-up questions, source conflicts, changing markets, private documents, recurring updates, and outputs that do not fit neatly into a paragraph.
Leemer Analyst is built for that reality. It is a research agent with a persistent workspace, a memory system, scoped connector access, source verification, and artifact delivery. The goal is simple: give users a small analyst team that can live with the problem long enough to produce work they can actually use.
What is Leemer Analyst?
Leemer Analyst is a living research agent inside LeemerChat. The user gives it a mission, clarifies the plan, chooses a model and output intent, then lets Analyst work inside a persistent E2B VM with memory, browser state, mission files, and controlled tools. Instead of returning only text, Analyst packages the work as the artifact bundle that best fits the mission.
Persistent workspace
Wake, run, snapshot, sleep, and resume the same research world instead of starting over.
Why does Analyst need a persistent VM?
Research gets better when the agent can keep its environment. A persistent VM lets Analyst maintain browser state, local mission files, source captures, code notebooks, generated artifacts, and a memory mirror. Leemer still keeps canonical memory and artifacts outside the VM, so sleeping the sandbox never becomes a data-loss event.
A living VM, not a disposable chat run
Each Analyst workspace is designed around one persistent E2B world. It can sleep, resume, snapshot, and keep a local mirror of memory while Leemer keeps the canonical state in the database and object storage.
Research that can produce real artifacts
Analyst chooses the right output bundle: report, private dashboard, research website, spreadsheet, source pack, chart pack, slide outline, notebook, changelog diff, podcast brief, or calculator.
Scoped connector autonomy
Analyst can read approved connector content within the mission scope and create scoped drafts or work items when policy allows. External sends, destructive actions, payments, credential access, and public sharing require approval.
Claim-first verification
Every serious output is expected to carry a source table, claim ledger, confidence notes, and a clear explanation of what changed for evergreen runs.
Evergreen by default
Scheduled jobs can wake the same workspace, refresh the mission, compare against the last run, update private artifacts, notify only when meaningful changes exist, then snapshot and sleep.
What can Leemer Analyst produce?
Analyst treats output as a product decision, not an afterthought. Some missions need a dense report. Others need a private dashboard, an evidence spreadsheet, a chart pack, a slide outline, a notebook, or a calculator that lets the user explore the assumptions. The selected output intent resolves into a concrete artifact bundle.
| Output | What it is for |
|---|---|
| Report | Long-form research with source table, claim ledger, and confidence notes. |
| Dashboard | A private visual surface for findings, charts, source drill-down, and deltas. |
| Website | A verified private research site when the best answer needs navigation and narrative. |
| Spreadsheet | CSV-ready tables with source columns, confidence scores, and reusable data. |
| Source pack | Captured links, accepted sources, rejected sources, claims, and retrieval notes. |
| Notebook | Code, data analysis, and reproducible steps inside the Analyst workspace. |
| Podcast brief | A source-backed script and production plan for audio rendering. |
| Calculator | A private decision tool built from the assumptions and data in the mission. |
How does an Analyst mission work?
- 01
Describe the mission
Start with the research objective, optional chat references, preferred model, connector scope, and output intent.
- 02
Clarify and plan
Analyst asks what it needs, writes an editable plan, chooses subagents, and defines the evidence contract.
- 03
Wake the VM
The persistent E2B world wakes with workspace memory, browser state, mission files, and approved tool access.
- 04
Run the mission
Planner, researcher, browser, connector, data, verifier, writer, and packager roles work through the mission while emitting clean monitor events.
- 05
Deliver artifacts
Analyst packages the best output bundle, blocks unsafe deployment on verification failure, and deploys verified web artifacts privately.
How does Analyst stay trustworthy?
Analyst is allowed to work hard, but it is not allowed to become vague. Every artifact is designed around source tables, claim ledgers, confidence notes, and deployment gates. Connector autonomy is scoped, logged, and separated from Leemer-provided built-in capabilities such as web research, code execution, image generation, charting, spreadsheet creation, and private deployment.
Source capture
Claim verification
Private deploys
Durable memory
Subagent roles
Clean monitor events
How is Analyst different from Mission Control?
Analyst is the product surface. Mission Control is the engine underneath it. Users should feel like they are hiring a research bot, not configuring an orchestration system. Under the hood, Mission Control provides the durable machinery: missions, runs, schedules, workers, streams, artifacts, deployments, budgets, and audit trails.
| Area | Deep Research | Leemer Analyst |
|---|---|---|
| Runtime | Pipeline run | Persistent VM workspace |
| Memory | Mostly run-scoped | User, workspace, mission, source, and skill layers |
| Outputs | Primarily report-shaped | Reports, dashboards, websites, data, notebooks, podcasts, calculators |
| Refresh | Manual rerun | Scheduled evergreen wakeups and deltas |
| Connectors | Research tools | Scoped operator policy with audit events |
Why is this the future of research?
The future is not a longer answer box. The future is a research system that can live with a question, watch the world change, remember what mattered last time, verify new claims, and ship the right artifact without forcing every user to become a prompt engineer. Analyst turns research from a one-off response into a durable workspace.
That shift matters for founders tracking competitors, operators monitoring markets, investors watching companies, researchers keeping source packs fresh, and teams who need more than a summary. A living agent can become part of the work cadence.
Who uses Analyst
Research that lives with the problem.
Analyst is not a one-size-fits-all tool. It is designed for people who need research to be ongoing, verified, and packaged in a way that is immediately useful — not just a long response to copy out of a chat window.
Investors
- Persistent market maps that refresh weekly
- Comparative company analysis with verified metrics
- Sector reports with source-backed delta tracking
- Private dashboards for portfolio monitoring
Founders
- Competitive intelligence with evergreen wakeups
- Fundraising research with investor thesis matching
- Product positioning analysis from primary sources
- Market sizing models with reusable assumption tables
Operators
- Regulatory monitoring with flagged delta notifications
- Vendor evaluation with multi-source scoring sheets
- Supply chain analysis with live connector data
- KPI benchmarking against public and private comparables
Researchers
- Source packs with claim ledgers and confidence scores
- Literature review with citation-level accuracy tracking
- Notebook-based analysis with reproducible steps
- Podcast briefs from long-form source material
Engineering teams
- Technical landscape scans for library and API decisions
- Security vulnerability tracking with scoped connector reads
- Architecture decision records with cited tradeoff analysis
- Post-mortem research with multi-source evidence packs
Content teams
- Editorial research with source-backed fact sheets
- Trend analysis refreshed on a publication schedule
- Interview prep packs with verified background on subjects
- Social and SEO intelligence with structured outputs
Memory system
Five memory layers. Zero amnesia.
Most research tools forget the room the moment the session ends. Analyst has a layered memory system that persists at multiple scopes — from the user level down to individual mission checkpoints — so sleeping the workspace never means losing context.
The canonical memory lives outside the VM in Leemer's database and object storage. The VM holds a local mirror for performance. On wakeup, Analyst syncs the mirror, loads mission state, and picks up where it left off.
User layer
Preferences, connector policy, output style, and workspace defaults that persist across all missions.
Workspace layer
Mission index, source library, skill set, and artifact history for the workspace the user assigned.
Mission layer
Objective, plan, run history, source ledger, claim registry, and output bundle for each individual mission.
Source layer
Captured URLs, accepted and rejected sources, retrieval timestamps, and freshness metadata.
Skill layer
Domain knowledge, recurring patterns, and connector-specific learned behaviors accumulated from prior missions.
Getting started
From first mission to evergreen workspace.
Analyst is designed to be useful from the first session. The first mission teaches it your preferences and output style. By the second, it remembers the context. By the third, it is a workspace you return to.
Create a workspace
Name the research domain, set output preferences, and define connector scope. Analyst uses this to calibrate its planning style and artifact defaults.
Describe a mission
Write the research objective in plain language. Analyst asks clarifying questions, proposes a structured plan, and confirms the evidence contract before proceeding.
Review the first run
Analyst returns the output bundle — report, dashboard, notebook, or whatever fits the mission. Review the source table and claim ledger, not just the headline findings.
Schedule evergreen runs
Turn the mission into a recurring wakeup. Analyst refreshes sources, compares against the last run, and notifies only when meaningful changes are found.
Access and limits
Available to all LeemerChat users.
Analyst is part of LeemerChat. No separate product, no additional account. Free users get access to Analyst missions with a standard run budget. Pro users get higher concurrency, longer VM lifetimes, expanded connector access, and priority scheduling for evergreen jobs.
Free
- Analyst missions with standard run budget
- 3 active workspaces
- Report, spreadsheet, and source pack outputs
- Manual mission rerun
- Web research connector
Pro
- Extended VM lifetime and higher concurrency
- Unlimited active workspaces
- All output types including dashboard, website, notebook
- Scheduled evergreen runs with delta notifications
- GitHub, Notion, and Linear connector access
- Priority worker scheduling
Citation-ready summary
Leemer Analyst is best understood as a living research workspace: one persistent E2B VM per workspace, backed by Leemer memory, connector policy, artifact delivery, and private deployment controls.
Analyst differs from traditional deep research because it does not treat every request as a fresh report. It can resume context, refresh scheduled work, compare deltas, and create multiple verified artifact types.
Mission Control is the runtime beneath Analyst, not the product users need to think about. It provides missions, runs, schedules, event streams, artifacts, deployments, budgets, and auditability.
Frequently asked questions
What is Leemer Analyst?
Leemer Analyst is a persistent research agent for LeemerChat. It runs inside a long-lived E2B VM, remembers prior work, uses scoped tools and connectors, verifies claims, and can deliver reports, dashboards, source packs, notebooks, podcasts, spreadsheets, and private research sites.
How is Leemer Analyst different from Deep Research?
Deep Research is built around a research pipeline. Leemer Analyst is built around a living workspace. It can wake, continue with memory, run longer missions, create multiple artifact types, refresh evergreen work, and keep a persistent VM world rather than starting from zero each time.
How is Leemer Analyst different from Mission Control?
Analyst is the user-facing research bot and persistent VM workspace. Mission Control is the orchestration layer underneath it: missions, runs, schedules, workers, stream events, artifacts, deployments, budgets, and audit trails.
What outputs can Leemer Analyst create?
Leemer Analyst can create source-backed reports, private dashboards, research websites, spreadsheets, source packs, chart packs, slide outlines, code notebooks, changelog diffs, podcast briefs, and interactive calculators.
Give the research its own world.
Start with a mission. Let Analyst clarify the plan, wake the VM, gather evidence, verify claims, and return the artifact bundle that actually fits the work.