Valentina Halasi

Deploying AI Agents
at Scale

The loop

Prompt
n rounds LLM Tool call Result
Answer ✓

Two flavors

Workflow

Fixed steps

Fetch data Parse Summarize Report

Agent

Figures it out

LLM Action Result decides

Real systems

Blend both

HTTP in Parse + auth Agent Think Act Observe Render to JSON HTTP out

Multi-agent

Pull Request opened Orchestrator READS PR · PLANS TASKS · SPAWNS AGENTS PARALLEL Code Analyzer 📁 reads diff bugs · style · logic Test Runner ⚡ runs test suite coverage · regressions Sec Scanner 🔒 checks CVEs deps · secrets · vulns Reviewer Agent synthesises all findings · writes PR comment ✓ Review comment posted
Prototype
Production
8 problems to solve
My experience
↓ click a problem to see which components solve it
crew ai amp
langsmith
mastra cloud
crewship
Thank you!

Questions?

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