What is an AI agent?
An AI agent pursues a goal, plans its steps and uses tools on its own. A plain definition, how it differs from a chatbot or a workflow, and examples.
How companies give people and teams AI agents and keep models, budgets and records under control. Written by the team that builds SecondStack.
An AI agent pursues a goal, plans its steps and uses tools on its own. A plain definition, how it differs from a chatbot or a workflow, and examples.
LLM governance as five enforced layers: access, data boundaries, spend, visibility, change discipline, and the point in the request path where each control actually runs.
How LLM cost management works in practice: per‑key attribution, budgets enforced in the request path, alerts before limits, per‑team analytics.
LLM guardrails scan prompts for PII and secrets before egress. Block, mask, or log; where the policy attaches; and who in your organization owns each choice.
An MCP gateway is a control point between AI agents and MCP servers: approved‑tool catalog, per‑team access control, credential brokering, audit log.
Claude Team costs $20–25 per standard seat and caps at 150 seats. Enterprise starts at $20 per seat with a 20-seat minimum, plus usage at API rates. Full math, checked November 2026.
Shadow AI is AI use without IT oversight. What it looks like in practice, what it costs when it goes wrong, and six practical detection signals.
How Claude Code is licensed (seats vs API billing), what it costs per developer, the governance controls Anthropic ships, and where a gateway fits.
OpenAI doesn't publish ChatGPT Enterprise pricing. Reported 2026 deals: $50–60 per seat, 150-seat minimum, annual term. The math to run before signing.
What a company brain is, why tribal knowledge is the bottleneck, and why your LLM interaction history is the asset it will be built from.
Direct calls work — until a second team, provider, or coding agents arrive. What an LLM gateway does, what breaks without one, and when to add it.
SaaS assistants store your data and bill per seat; DIY open‑source stacks go unsupported. Why we built a self‑hosted AI platform and ran it on ourselves first.
Bring one job you would hand to an agent. On the demo call we walk through how it would run in SecondStack: who owns it, what budget it runs on, and the record it leaves.
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