144| Microsoft's DELEGATE-52 benchmark proved AI agents lose significant content across extended task chains. 145| Anthropic launched evaluator models. Palo Alto Networks is buying Portkey for agent security. 146| Nobody has built the monitoring layer yet. We did. 147|
148|Microsoft's benchmark sent 52 complex tasks through AI agents. Only Python programming passed the readiness threshold after 20+ interactions. Everything else degraded.
165| 166|Agents drop instructions, forget constraints, and silently rewrite outputs across long task chains. By interaction #20, the output barely resembles the original goal.
170|When an agent fails, it does not throw an error. It just produces worse output. Your customers find out before you do. By then, it is too late.
174|We sit between your agent and the world, checking every interaction against 6 quality dimensions.
184| 185|Point your agent's API calls through our proxy. Works with any OpenAI-compatible endpoint. 5-minute setup.
190|6 automated checks on every output: completeness, consistency, hallucination, compliance, sentiment drift, and task completion.
195|Daily drift reports + real-time alerts when quality drops below your threshold. Slack, email, or webhook.
200|No fluff. No demo request form. Just a quick look at what this does.
⚠️ This is NOT for you if:
you want get-rich-quick schemes, expect overnight results, are looking for "hype" AI tools, or can't be bothered to follow a 5-minute setup.
✅ This IS for you if:
you want boring automation that quietly makes money, you value reliability over flash, and you believe one person with the right systems can build a real business.
Real products, real revenue, real problems solved. No hype — just boring reliability.
Setup time: 5 minutes. Point it at your agent endpoint and start monitoring.
# Point the monitor at your agent's API endpoint # Works with any OpenAI-compatible endpoint export AGENT_ENDPOINT="https://api.openai.com/v1" export MONITOR_KEY="your-quality-threshold"
hermes run --prompt "Run all 6 quality checks on my production agent endpoint: (1) output completeness, (2) factual consistency, (3) hallucination detection, (4) compliance check, (5) sentiment drift, (6) task completion accuracy. Score each dimension 0-100 and flag anything below 70. Save report to ~/agent-quality-report.md"
hermes cron create \ --name "agent-reliability-check" \ --schedule "0 7,15,23 * * *" \ --prompt "Run quality checks on production agent endpoint. If any dimension scores below 70 or dropped more than 10% since last check, alert me on Slack immediately with the change details and recommended action."