10 Real-World AI Agent Examples Deployed in Production (With Code)¶

A fleet of ten luminous agent cubes hovering above a dark platform, each connected by thin light filaments to distant services

"AI agent examples" is one of the most searched terms in the space — and most results are listicles with no code. Here are 10 agents you can actually build and deploy. Each has a real use case, the logic, and the deployment command.

1. GitHub Issue Triage Agent¶

What it does: Fetches new issues daily, analyzes them with an LLM, assigns labels and priority, posts a Slack summary.

def handler(event, context):
    issues = fetch_github_issues(since="24h")
    for issue in issues:
        analysis = llm_analyze(issue["title"], issue["body"])
        apply_labels(issue["number"], analysis["labels"])
        comment_priority(issue["number"], analysis["priority"])
    post_slack_summary(issues)

2. Lead Scoring Agent¶

What it does: Polls CRM every hour, scores new leads with an LLM based on firmographics and behavior, notifies sales for hot leads.

3. Content Curation Agent¶

What it does: Searches news sources daily, filters articles with an LLM, drafts a newsletter with the top 5 most relevant pieces.

4. Competitor Monitoring Agent¶

What it does: Scrapes competitor sites every 6 hours, diffs changes, alerts if a competitor launches something new.

5. Data Enrichment Agent¶

What it does: When a new row appears in a database, looks up the company, enriches with funding data and employee count, writes back.

6. Code Review Assistant¶

What it does: Triggered on new PRs. Reviews the diff, suggests fixes for common issues, comments on the PR with actionable feedback.

7. Daily Research Briefing¶

What it does: Fetches arXiv papers every morning, summarizes with GPT-4, emails a briefing to the team.

What it does: Tracks mentions of your brand across platforms daily, classifies sentiment with an LLM, alerts on negative spikes.

9. Invoice Processing Agent¶

What it does: Monitors an email inbox for invoice PDFs, extracts key fields with an LLM, writes structured data to a database.

10. Uptime & Health Check Agent¶

What it does: Pings your services every 5 minutes. If something is down, diagnoses the issue via logs, posts an incident report to Slack.

Executions per day across the seven scheduled agents — from one morning run to a health check every 5 minutes. Same platform, same 3 deploy commands. (The other three agents — data enrichment, code review, invoice processing — are event-driven.)

Deploy any of these in 3 commands¶

hollowhost ai-jobs create --repo you/agent-name --lang python --pm uv --entry-point main.py
hollowhost ai-jobs env import <id> --file .env
hollowhost ai-jobs deploy <id>

Every agent gets its own isolated execution environment, encrypted secrets, and full run observability. No Dockerfiles. No IAM. No cron.

Deploy your first AI agent in 5 minutes. Start on HollowHost — free tier included.