The Killer App for Agentic AI

Reliable, Long-Running Agents
That Execute Code & Require Human Oversight

Highway is the durable execution engine for AI agents that need to think, act, and wait for approval.

The Scenario

"The Weekly Competitor Intelligence Report"

You want an AI Agent that runs every Monday, researches 50 competitors, writes and executes Python code to visualize pricing trends, generates a PDF, and waits for the VP of Product to approve it before emailing the entire company.

Why This Is Hard

Current tools weren't built for this

The Problem	n8n / Zapier	DBOS / Temporal	Highway
Complex Loops Agent browses 50 sites, handles 404s, retries flaky selectors	Fail Visual nodes are terrible for complex loops. "Spaghetti flows."	Good You can write this in Python code easily.	Perfect Native Python with atomic retries for every HTTP request.
Dangerous Code Agent writes a Pandas script to plot a chart	Fail Cannot safely execute arbitrary Python. Security risk.	Doable Must manually build a secure sandbox/Docker integration.	Perfect Built-in `engine/sandbox` for untrusted code.
Long-Running State The process takes 4 hours	Risk If the server restarts, the workflow dies.	Good Durable execution handles this.	Perfect Checkpoints to Postgres. Resumes exactly at "Competitor #34".
Human Approval Gate VP must click "Approve" before sending	Hard Hack together webhooks and a separate database for state.	Hard Write custom API endpoints to handle the "signal."	Perfect Native Manual Approval. Pauses, sends email, waits for click.

The Architecture

Agents that think (Highway) and interact (Stabilize)

The Soldier

Highway handles the Brain

Write the Agent's logic in Highway because it needs Atomic Memory.

Agent scrapes a URL. Fails? Highway retries automatically.
Agent generates Python code to calculate "Average Pricing."
Highway Sandbox: Executes code in isolation. Bad code? Kills it, asks Agent to retry.
Result: Generates analysis.pdf

The General

Stabilize handles the Process

Wrap that Agent in a Stabilize Pipeline because you need Control.

Schedule: Every Monday 9 AM
Trigger Highway: Run competitor_analysis_v1
Manual Approval: Email to VP with [Approve] / [Reject]. Sleeps for days, zero resources.
Email Blast: Once approved, sends to company.

Why Teams Choose Highway

For the Engineer

"I write my logic in Python, but I also get a full UI for approvals, monitoring, and debugging. No need to build either from scratch."

For the Data Scientist

"I can prototype in the visual editor, then drop into Python for complex loops. Best of both worlds without learning a new DSL."

For the CTO

"We get the durability of a serious backend (DBOS-style) with the operational visibility of a CI/CD platform. Code-first AND UI-first."

Ready to build reliable AI agents?

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Reliable, Long-Running Agents That Execute Code & Require Human Oversight