Guides

Durable execution means your AI agent retries from the failed step, not from scratch. Here's why checkpointing is the difference between a demo and production.

Learn how to design escalation rules for your AI agent email workflow: what to handle autonomously, when to escalate to humans, and how to test the boundary before going live.

88% of AI agent pilots never reach production. The 8 failure modes that break agents in production and what a production-grade platform must do about each one.

Learn what an AI agent API stack really needs, what to rebuild if you DIY it, and how LotsAgent removes the platform layer.

10 concrete AI agent workflows for business — email triage, lead qualification, support, scheduling, reporting, and more. Pick one workflow and deploy it this week on LotsAgent.

Deploy AI agents to unattended production in 7 working days. A day-by-day rollout plan with identity, memory, audit, durable execution, and a final audit gate.

Autonomous AI agents in 2026: the four real levels of autonomy, what they handle well, the actions they must never take without review, and why bounded autonomy is the only design that holds up.

An AI agent on Telegram reads context, takes action across tools, and replies from the same setup you trust on email — no bot framework, no webhook receiver, no separate memory.

AI agent tools are the actions (send email, call an API); skills are the expertise (your ICP, tone, decision rules). Here's the mental model, decision framework, and where LotsAgent fits.