An agent drives a real browser to complete repetitive web forms and portals, pausing for you before anything is submitted.
Topic
Agents
Coding agents, browser agents, research agents, and personal assistants doing a specific job.
A Socratic tutor that guides students with questions instead of handing over answers.
An agent sorts incoming mail into ignore, notify and draft-a-reply, and queues drafts for your approval.
An agent researches flights, hotels and itineraries against your preferences and prepares options; you confirm any booking.
An agent that reads incoming tickets, looks up customer context, resolves routine ones and routes the rest to humans.
An ambient scribe captures a clinical conversation and drafts a note that the clinician reviews and signs.
A triage agent answers new-hire questions and hands off to IT, payroll and benefits specialists, escalating sensitive cases to HR.
A triage-and-specialist agent collects claim details, checks completeness, and hands off to an adjuster with approval gates.
An agent extracts invoice fields, matches them to purchase orders, flags exceptions and queues clean ones for approval.
An agent in Teams or your intranet answers common IT questions, runs approved fixes and files tickets for the rest.
An agent reads a contract against your playbook, highlights risky clauses with exact quotes and drafts questions for a lawyer.
Record or import a meeting, get a transcript, a summary and a list of owners and actions ready to send after you approve.
A crew of role-based agents researches, drafts, edits and packages marketing content for human approval.
Parallel agents score vendor proposals against your requirements and produce a comparison table for a buyer to decide.
An agent drafts listing copy from property facts and qualifies inbound leads, routing hot ones to an agent.
An agent summarises applications against a written rubric and flags gaps, while people make every hiring decision.
An agent finds meeting times across calendars through MCP tools and drafts invitations for your approval.
An agent enriches each security alert, decides if it looks benign or serious and hands analysts a short case file.
An agent triages mentions, drafts replies, and holds them for human approval before anything is posted.
An agent watches shipment events, diagnoses delays, proposes fixes and waits for approval before acting.
A speech-in, speech-out agent handles appointment requests, with handoff to a person for anything unusual.
A planner splits a question into sub-questions, parallel searchers gather sources, and a writer assembles a report with citations.
A lead agent plans research and parallel sub-agents read filings and transcripts, then a citation pass produces a sourced earnings brief.
An agent researches each target account and prospect, then drafts personalised outreach for a rep to approve.
Assign an issue to a coding agent that works in a sandbox, runs tests and opens a pull request for you to review.
An agent comments on every pull request with a summary, bug risks and improvement suggestions before a human reviews.
Ask business questions in plain English; the agent writes read-only SQL, runs it and returns tables, charts and a summary.
After code changes merge, an agent proposes documentation updates as a pull request for human review.
Expose internal data and actions as MCP servers so any compatible AI agent can use them under least-privilege rules.
When an alert fires, an agent investigates metrics, logs and deployments read-only and posts likely causes to the on-call engineer.
A coding agent writes tests for untested code, runs them, and iterates on failures until a reviewer approves.
An agentic RAG assistant that searches company docs, checks relevance, retries with a better query, and answers with context.