Frameworks and models — AI agent development
Choosing the pieces: agent frameworks compared, orchestration libraries, picking a model for the job, the Model Context Protocol, and when no-code beats a custom build.
5 guides
No-Code Agent Platforms vs Custom Builds: An Honest Comparison
No-code gets you to a working result in days and teaches you what the task really needs. Custom earns its cost when permissions, unit economics or product ownership are on the line.
The Model Context Protocol, Explained for Builders
MCP standardises how an agent discovers and calls tools, so an integration written once can serve several clients. Useful — as long as you keep owning authorisation.
Choosing a Model for Your Agent: Capability, Latency and Cost
Do not pick one model for the whole agent. Pick a model per step, measure on your own cases, and route the boring steps to something cheap.
Agent Orchestration: When You Need It and When It Is Overhead
Orchestration buys durable state, branching and resumption. If your runs finish in twenty seconds and never resume, you are paying for insurance you will not claim.
Choosing an AI Agent Framework: What Actually Matters
Framework comparisons age badly. The questions that decide whether you will be happy in six months do not — here they are, with the trade-off each one hides.