AI Agent Examples
On this page (3)

AI Agent Examples

AI agent examples are public accounts of AI agents that named companies built and run, each summarized from one primary source: a conference talk, a blog post, a report or a post by the team that built it. Every entry states what the company built, how the system works, the results the source reports, and the limits of that evidence.

TL;DR: This collection summarizes real AI agents from named companies, such as the hiring agent at LinkedIn, the sales assistant at Apollo.io and the trust agents at Airbnb. Each entry restates one public source in plain words, attributes every number to the speaker or author, and ends with a critical assessment. The companies are not affiliated with Taskade. Most sources are talks from 2025 and 2026, and the reported results come from the teams themselves.

JPMorgan Chase: Jarvis, an Assembly Line That Builds Agents

JPMorgan Chase built Jarvis, an assembly line of reusable skills that builds, tests and governs AI agents. How it works, the evals it runs, and the limits.

LinkedIn: A Hiring Agent for Small Businesses

LinkedIn built a hiring agent for small businesses on a plan, execute and replan loop. How it works, the 60% time-to-interview figure, and the evidence limits.

LinkedIn: Hiring Assistant and the Agent Framework Behind It

LinkedIn built Hiring Assistant for recruiters with a supervisor and sub-agents, plus a Python agent framework that 20+ teams use. How it works and the limits.

Rippling: Admin Agents Across HR, Payroll and IT

Rippling builds AI agents that answer admin questions across HR, payroll, IT and finance. Why it left fixed routers, how it ships agents, and evidence limits.

Salesforce: Support and Sales Agents on Its Own Product

Salesforce runs its own support and sales agents as customer zero. What Marc Benioff says the agents do, the conversation and headcount numbers, and the limits.

Vercel: A Data Science Agent Rebuilt Around a File System

Vercel built an internal agent that answers data questions for every team. The four versions, the file-system rebuild that doubled its eval score, and limits.

Vercel: An Agent That Qualifies Inbound Sales Leads

Vercel built a lead agent that enriches, researches and qualifies inbound leads, then drafts the reply for a human to send. How it works, the numbers, limits.

Weber Shandwick and Focused: An Agent Factory for Brand Agents

Weber Shandwick and Focused replaced one-off agents with one reusable design that they configure per client brand. How it works, reported numbers, limits.

Selection and fact-check method

Each entry follows the same rules:

  • One primary source. The entry summarizes one public talk, post or report by the team that built the system. It does not draw on news coverage or on other summaries.
  • Our own words. The entry restates the source in plain words, with at most two short quotes, each attributed to its speaker.
  • Every number anchored. Each number in an entry maps to a timestamp in the talk or a page in the report. A claim without an anchor does not ship.
  • Attributed results. Every result reads as "{speaker} reports …". No entry presents a company's number as a Taskade finding.
  • A disclosure line. Each entry states that the company is not affiliated with Taskade.
  • Regular link checks. We re-check every source link each quarter.

Each entry has the same sections: the system the company built, its architecture, the results the source reports, a critical assessment, a short guide to building a similar system in Taskade, and three related examples.

All examples

The table lists the newest source first.

For the six patterns that these examples share, read What 12 Production AI Agent Deployments Have in Common.

Company What they built Source type Source published Link
JPMorgan Chase Jarvis, an assembly line that builds agents YouTube talk 2026-09-29 Read
Apollo.io A sales assistant rebuilt on deep agents YouTube talk 2026-09-29 Read
Airbnb Trust agents that can abstain and hand off to a human YouTube talk 2026-09-29 Read
Weber Shandwick and Focused An agent factory for brand agents YouTube talk 2026-09-29 Read
Vercel A data science agent rebuilt around a file system YouTube talk 2026-09-14 Read
LinkedIn A hiring agent for small businesses YouTube talk 2026-07-22 Read
Clay Go-to-market agents at 350 million runs a month YouTube talk 2026-06-24 Read
Vercel An agent that qualifies inbound sales leads Blog post 2026-01-23 Read
Rippling Admin agents across HR, payroll and IT YouTube fireside chat 2025-11-26 Read
Salesforce Support and sales agents on its own product Podcast video 2025-08-29 Read
LinkedIn Hiring Assistant and the agent framework behind it YouTube talk 2025-06-13 Read
Anthropic Ad copy sub-agents from a one-person marketing team PDF report 2025-06-03 Read

More like this

← Back to all topics