#AgentOps

Ben Lorica 罗瑞卡bigdata@indieweb.social
2025-12-10

Cracking the Black Box 🔎 The Blueprint for Agentic Observability
✅ Don’t Let Model Churn Break Your AI Observability Stack
#AI #DevOps #LLM #AgentOps #AgenticAI
🎯 gradientflow.substack.com/p/ar

Ben Lorica 罗瑞卡bigdata@indieweb.social
2025-12-09

🆕 Observability Is Non-Negotiable for Agentic AI
✅ Agents require "semantic traces." You need to see the full narrative: the planning step, the tool retrieval, the reasoning, and the final output.
🚨 If you can’t replay what actually happened in a bad run, you’re flying blind.
#AI #DevOps #TechStrategy #AgentOps
gradientflow.substack.com/p/ar

2025-11-28

If you’re in a Fortune 500, utilities, regulated industries, or anywhere trust matters:

This is the playbook for the next 1,000 days.

Read here → tedt.org/Winning-the-Intellige

Would love your thoughts.

#EnterpriseAI
#AIStrategy
#AutonomousAgents
#AgentOps
#AIGovernance
#ComputeEconomics
#IntelligenceInversion

2025-11-28

Winning the Intelligence Inversion

AI is already cheap. The bottleneck has shifted from headcount to compute, deployment & trust. If you’re leading an org, this isn’t optional — it’s existential.

The next 1,000 days of AI won’t be won by who hires the most people — but by who deploys compute, agents, and verification the fastest with trust.

tedt.org/Winning-the-Intellige

#EnterpriseAI
#AIStrategy
#AutonomousAgents
#AgentOps
#AIGovernance
#ComputeEconomics
#IntelligenceInversion

:rss: Qiita - 人気の記事qiita@rss-mstdn.studiofreesia.com
2025-11-10
EveryDev AIEveryDevAI
2025-08-16

🛡️ Vibekit @superagent_ai

Open-source AI agent security. Features Docker sandbox, secret redaction, access monitoring, and prompt-injection blocking. Safeguards your .env file.

everydev.ai/tools/vibekit

EveryDev AIEveryDevAI
2025-08-16

🧭 Traycer AI @TraycerAI

Plan, assign, and verify AI coding changes with tests ensuring traceability. Prevent YOLO-editing with vibe-coding checks.

everydev.ai/tools/traycer-ai

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst