A new decision framework for AI automation distinguishes between APIs for systems of record and browser agents for systems of action, with humans reserved for judgment gates. The approach helps teams …
An AI agent autonomously built a production landing page with GDPR audit logs and encryption, requiring no human supervision. Developer Piotr Karwatka demonstrated a repeatable workflow on Open Mercat…
Salesforce stock has fallen for its longest consecutive losing streak on record, dropping 33-37% year-to-date through mid-June 2026, after the company announced a $3.6 billion acquisition of AI startu…
A developer built a system to extract structured data from email signatures using regex and cross-referencing, achieving 91% field completeness by merging data from three messages. The system uses a d…
Agency professionals can now reclaim hours of lost morning time by building a second brain powered by Claude Code, Anthropic's developer-focused AI agent. The system uses four layers — persistent memo…
A developer built a system that uses large language models to automatically extract structured deal intelligence from sales call transcripts and store it in a CRM. The system, built with PostgreSQL an…
A developer has designed an MCP tool budget for AI SaaS products, a control layer that limits which tools an agent can see, what each tenant can spend, and when human approval is required. The system …
A developer detailed a blueprint for building production-ready enterprise AI agent workflows, emphasizing that middleware integration, multi-agent governance, and cost-latency tradeoffs are more criti…
The article explains that while teams often start with simple, one-off automations like scripts or tool connections to solve small problems, these solutions become unreliable as the business grows. It…
MCP (Model Context Protocol) server integrations are not inherently dangerous, but the primary security risk lies in how vendors build and configure them. It warns that most buyers fail to scrutinize …
The Model Context Protocol (MCP) is an open standard published by Anthropic that enables AI assistants to securely discover, call, and receive results from structured tools, bridging the gap between A…
Per-user OAuth is essential for AI agents because it allows each individual user to grant the agent a scoped, revocable token tied to their own account, solving the security and auditability problems …