Practical ways GTM teams can use agents
Our growth team at Clay shares six agent use cases from our own workspace, including deal postmortems, account health scores, and personalized research for tier-one ABM campaigns.
5,336 stories
Our growth team at Clay shares six agent use cases from our own workspace, including deal postmortems, account health scores, and personalized research for tier-one ABM campaigns.
Making installation easier and putting a new wrapper on the interface while leaving most of the security to users is a recipe for more trouble with the popular agent harness
GDPR and AI customer support explained: lawful basis, retention, subprocessors, and the right to erasure when data lives inside a retrieval index.
The audit trail fields, retention windows, and access controls that let you answer why an AI agent said what it said, months later.
Comparing Make.com alternatives for WordPress? See how Uncanny Automator delivers unlimited, instant automations with no credit limits. TLDR? Get the highlights▾ 1The verdict up front: if WordPress is the center of your business, Uncanny Automator is the ultimate Make alternative — instant…
The work of running support well rarely announces itself. It shows up in a filter that used to hang for thirty seconds, a setting that used to require a ticket, a column that finally shows the right data. Here's what changed in August.
A researched map of how teams actually watch MCP traffic today: the protocol's own shift to OpenTelemetry, the observability platforms that added MCP tracing, and the gap between debugging a server and running one.
Agentic automation runs a named agent with memory and tools inside a workflow. Here is the five-point test that separates it from a stateless AI step.
Two frontier labs and two research papers reached the same conclusion by 2026: the AI instructions you wrote to improve output are now quietly making it worse.
The real history of mind mapping, with sources. Porphyry never drew a tree, Leonardo's map has never been produced, and the best-controlled study found no benefit. Here is what actually happened, from 270 AD to GraphRAG.
Skills, MCP servers, and CLAUDE.md all load context into a coding agent, but they are not interchangeable. A decision guide to picking the right one - static procedure vs. live data - without bloating the context window or shipping stale answers.
What a support AI should remember across sessions, what it should forget on request, and why unlimited conversation memory is a privacy liability.
HR teams are investing in AI, but most are buying chatbots when they need agents. Here's why that difference changes everything about onboarding.
A quine prints its own source. Von Neumann showed what self-replication needs in 1948, five years before DNA. Here is the full chain, with code you can run.
Richard Sutton compressed The Bitter Lesson into 26 words. What it means, why he now says LLMs break it, and what it changes for anyone building with AI.
Chatbot fallback design for AI support agents: how to design the escalation path before the happy path, and why the fallback is the actual product.
A real customer support system prompt, annotated line by line, with the grounding, citation, and refusal rules that stop confident wrong answers.
A researched map of how AI agents and the teams building them find and call APIs at scale outside of MCP: public marketplaces, unified-API platforms, and OpenAPI-driven agent tool generation, and where each one stops short of governing who gets to call what.
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