Use Cases
Real teams · Real results
See how AI agents work
in the real world
Concrete examples of AI agents deployed across industries — what problem they solved, what tools were used, and what actually happened.
Marketing
2 live · 2 comingHow marketing teams are using agents to automate content, research, and campaign workflows — without adding headcount.
How a 3-person SaaS team automated their entire content pipeline with n8n + Claude
Brief writing, SEO research, first drafts, and internal review routing — all triggered from a single Notion database entry. No writers were replaced; one writer now does the work of three.
Auto-generating product description variants at scale — without generic output
An e-commerce brand used a Claude-powered agent to generate 4,000 product descriptions in 48 hours. The trick: structured prompts trained on their top-performing copy, not generic instructions.
Qualifying inbound leads automatically with a multi-step research agent
An agent that pulls LinkedIn data, checks company size, scores fit, and routes to Salesforce — before a human ever looks at the lead.
Running a weekly newsletter with zero manual writing using Claude + RSS feeds
How an independent newsletter operator automated curation, summarization, and formatting — keeping editorial voice without touching a keyboard.
Operations
1 live · 2 comingOps teams moving repetitive internal workflows off human plates — from document processing to customer support routing.
Extracting structured data from unstructured supplier invoices — at 2,000 docs/day
A logistics company replaced a manual data entry team with a Claude-powered extraction agent. It reads PDFs, normalises formats across 40 suppliers, and pushes clean data into their ERP — with a human-in-the-loop flag for low-confidence extractions.
Triaging 500 daily support tickets with an agent that routes, drafts, and escalates
Intent classification, priority scoring, and first-response drafting — all before a human agent opens their queue in the morning.
Screening 300 applications in 4 hours: how a startup automated their first hiring round
CV parsing, fit scoring against a structured rubric, and async video prompt generation — the recruiter only saw the top 20 candidates.
Engineering
1 live · 2 comingHow engineering teams are using coding agents in actual production workflows — not just autocomplete, but autonomous task execution.
Using Claude Code as a first-pass code reviewer in a 12-person engineering team
Before any PR reaches a human reviewer, Claude Code checks for logic errors, naming inconsistencies, missing tests, and security anti-patterns. It leaves inline comments on GitHub — the same way a human would. Senior engineers now only review PRs that passed the agent filter.
Generating and running integration tests automatically when a new API endpoint ships
A Codex-powered agent reads the OpenAPI spec diff, writes integration tests, and runs them in a sandbox — the developer gets a Slack message with pass/fail results.
Migrating a legacy Python 2 codebase to Python 3 with a multi-pass coding agent
Not one-shot generation — an iterative agent that converts, runs tests, catches failures, and retries with context. 40k lines of code. 3 days instead of 3 months.