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Documentation Index

Fetch the complete documentation index at: https://docs.doe.so/llms.txt

Use this file to discover all available pages before exploring further.

Doe does not require you to choose a working mode. You ask for the outcome, and Doe decides how much agent work is needed. For simple requests, Doe can respond directly. For larger requests, Doe can plan the work, gather context, coordinate subagents when useful, validate the result, and produce finished artifacts for review. You can keep the request lightweight or delegate a complete task. The interaction stays the same: describe what you want done, add the context Doe should use, and review the result. Doe agent workspace

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How Doe Routes Work

Request typeWhat Doe may do
Quick question or rewriteAnswer directly and keep the exchange lightweight
One file summaryRead the file, cite relevant sections, and answer in the conversation
Multi-file research with citationsSearch, read, compare, cite, and synthesize a structured result
Spreadsheet creation or cleanupCreate, edit, format, validate, chart, export, or sync a workbook
Cross-app work across email, CRM, chat, and filesGather signals across connected apps and produce a reviewable result
Data analysis, charts, or generated filesUse analysis tools, create artifacts, and save outputs for review
A recurring taskHelp turn the prompt into a Loop that runs on a cadence
For bigger outcomes, be explicit about sources, output format, approval rules, and validation. Doe will decide the right depth of work.

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What Happens During Agent Work

Doe keeps the experience simple: you describe the outcome, then review the work. Behind that, a larger request usually moves through a few visible stages.
StageWhat Doe does
PlanClarifies the objective, likely sources, and expected output
Gather contextSearches files, apps, prior sessions, websites, or uploaded material
WorkReads, analyzes, edits, drafts, creates, or updates the requested output
CheckVerifies important claims, citations, calculations, and file edits
SummarizePresents the result, supporting sources, and next steps
You can watch progress in the Activity tab of the preview pane. For larger requests, Doe can use multiple subagents in parallel so independent parts of the job move at the same time.

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From Request to Cloud Workforce

Start with one delegated outcome. If the same work should happen again, turn it into a repeatable task.
PatternExample
One-off requestBuild a market map of 50 competitors and create a cited workbook.
Parallel subagentsResearch each competitor's pricing, positioning, integrations, and customers in parallel.
Reviewable actionDraft follow-up emails for these accounts. Do not send until I approve.
Standing agentEvery Monday at 9am PT, update the pipeline risk report and draft a Slack summary.
The same building blocks apply across every substantial task: context, delegation, activity review, generated artifacts, approvals, sharing, and Loops.

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Subagents

Subagents are specialized AI assistants that help with focused parts of a larger task. They are useful when a request has independent pieces of work, such as researching several competitors, reading many files, comparing multiple apps, or validating a spreadsheet. You do not need to configure subagents directly. Doe uses them when they help finish the work faster or more reliably, and the activity view shows the work at a high level. Examples: 
Research our top 5 competitors. For each one, find pricing, packaging,
recent product launches, and positioning. Cite sources and end with a table.
Doe can divide the research by competitor or topic, then combine the findings into one table. 
Search every uploaded contract for renewal and termination clauses.
Extract the clause text, cite the file and page, and create a review spreadsheet.
Doe can search the documents, read the relevant sections, and create a structured spreadsheet for review. 
Use @HubSpot, @Gmail, and @Slack to identify stalled enterprise deals.
Draft next steps for each owner and flag missing activity.
Doe can compare signals across connected apps and produce a prioritized action list.

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Managing Multiple Agent Runs

You can start more than one substantial request and move between conversations while work continues. Active work is visible in the sidebar and preview pane. Open any run to inspect progress, review files, or send a steering message. Useful follow-ups while agent work runs:
  • Focus only on enterprise accounts.
  • Use the file I just uploaded as the template.
  • Skip LinkedIn and use HubSpot plus Gmail instead.
  • Pause before sending anything externally.

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What Agents Can Use

Depending on your permissions and connected context, agents can use:
  • Uploaded files, Library files, folders, and prior sessions
  • File-content search across indexed documents
  • Document extraction and PDF/DOCX editing
  • Spreadsheet creation, formatting, formulas, charts, validation, and export
  • Connected apps such as Gmail, Slack, HubSpot, Salesforce, GitHub, Linear, Notion, and more
  • Web research, website review, and structured data extraction
  • Database analysis through connected database integrations
  • Code sandboxes for calculations, analysis, charts, and generated artifacts
  • Loops for scheduled recurring work

Task Playbooks

See practical ways to deploy agents

Chat and Preview Pane

Watch activity, files, spreadsheets, and sources beside the conversation

Research and Code Sandboxes

Learn how agents research, analyze data, and create artifacts