AI Agent & Automation Decision Platform

Stacks and Flows

Choose the right AI agents, automation systems, and execution architecture for your team.

Evidence-led guidance across workflows, AI and coding agents, protocols and governance — compare deployment, reliability, migration, ownership and lock-in trade-offs.

Visit website↗Continuously evolving

Overview

Evidence-led guidance across workflows, AI and coding agents, protocols and governance — compare deployment, reliability, migration, ownership and lock-in trade-offs.

What it solves

A tool shortlist is only the start. Connect the workload to its execution model, check when an option does or does not fit, and decide who will own and operate it.

Core capabilities

What it can do

01

Compare workflow platforms, AI agents, coding agents and runtimes by workload and operating constraints — including when not to use them.

02

Translate Frontier changes into decision impact: harnesses, runtimes, sandboxes, memory/context, Skills/Plugins, MCP/A2A, triggers/events, evals and governance.

03

Trace capability boundaries to official documentation and changelogs, source verification, verified dates and explicit conditions — not blanket recommendations.

04

Plan self-hosting and migration around portability, operational ownership and vendor lock-in, alongside reliability and deployment trade-offs.

Typical scenarios

Built for this work

Choose a workflow or agent stack↗Evaluate an execution architecture↗Plan migration and self-hosting↗Assess ownership and lock-in↗

Who it is for

Designed for teams with this kind of work.

01

Teams choosing workflow and agent systems

02

Developers evaluating runtimes and deployment boundaries

03

Operators planning migration and long-term ownership

Current stage

Continuously evolving

The public site is live. Workflow and agent comparisons, Frontier decision guides and migration resources continue to evolve.

Supporting technology

AstroCloudflare PagesContent CollectionsWorkflow Research