The Agents Layer Blog
Building, deploying, and governing managed AI agents in production.
Industry
5 Ways to Make Money With AI Agents in 2026
Five proven ways to make money with AI agents in 2026 - four agency models (social media, AEO, vibe-code, and automation) plus building your own AI SaaS product.
Industry
What AI is really doing to engineering velocity
New data from 400+ engineering orgs shows AI lifts pull request throughput by single digits, not 10x — because coding was never the real bottleneck.
Research
How we measure agent quality before it reaches production
Offline evals, red-teaming, and live scoring — the layered approach we use to catch failures before a customer ever does.
Industry
What it really means to become an agent-native enterprise
Most companies are bolting AI onto old workflows. The winners are rebuilding the workflow around the agent — here is the operating model that makes it work.
Engineering
Designing multi-agent systems that don't fall apart
Subagents, handoffs, and shared memory. A practical guide to orchestration patterns that stay reliable as complexity grows.
Product
Bringing agents to voice, chat, and email — without rewrites
How the platform adapts a single agent definition across every channel while keeping tone and context consistent.
Product
Prompt engineering as a team sport, not a dark art
Version control, generation, and review workflows that let whole teams iterate on agent behavior with confidence.
Security
Governing autonomous agents at enterprise scale
Shipping an agent is day one. We break down the audit, guardrail, and escalation patterns that keep agents accountable to a regulator and a board.
Engineering
Retrieval that actually works: lessons from 50 deployments
Chunking, reranking, and evaluation tactics we learned the hard way while grounding agents on messy enterprise knowledge bases.
Research
Spending your latency budget where users feel it
Streaming, speculative tool calls, and caching — where milliseconds matter and where they quietly don't.