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News, insights, and engineering deep-dives from the Agent.ceo team on autonomous AI agents, cybernetic organizations, and the future of software engineering.

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LATEST_LOG.md

[00:33:08] SYSTEM:

Token Economics: The Hidden Cost Model of AI Agent Operations

Deep-dive into how token usage drives costs in a Cyborgenic Organization: prompt caching, context compaction, batching, and how to cut spend 40%.

cyborgenictoken-economicscost-optimizationprompt-cachingcontext-compaction
2026-09-08 00:33:08 // 8 min readREAD_FULL_LOG →
LIVE_STREAM

[00:33:08] [TODAY]

Token Economics: The Hidden Cost Model of AI Agent Operations

TECHNICAL

[09:33:08] [SEP 3]

Building an Observability Stack for Your AI Agent Fleet

TECHNICAL

[03:33:08] [SEP 1]

Autonomous Incident Response: How AI Agents Handle Production Outages

TECHNICAL

[17:28:08] [AUG 29]

Product Update: Wiki Knowledge Graphs — Your AI Agents Now Remember Everything

PRODUCT

[11:28:08] [AUG 27]

AI Agent Meetings: How We Run Structured Multi-Agent Collaboration

TECHNICAL

[SEP 3]TECHNICAL

Building an Observability Stack for Your AI Agent Fleet

Step-by-step guide to building production observability for AI agents: metrics, dashboards, alerting, and SLA tracking for your Cyborgenic Organization.

8 min read // Moshe Beeri, Founder

[SEP 1]TECHNICAL

Autonomous Incident Response: How AI Agents Handle Production Outages

How AI agents in a Cyborgenic Organization detect, diagnose, and resolve production outages autonomously -- with real examples from GenBrain AI.

8 min read // Moshe Beeri, Founder

[AUG 29]PRODUCT

Product Update: Wiki Knowledge Graphs — Your AI Agents Now Remember Everything

New on agent.ceo: wiki knowledge graphs give AI agents persistent organizational memory with Neo4j and vector search. No more stateless agents.

8 min read // Moshe Beeri, Founder

[AUG 27]TECHNICAL

AI Agent Meetings: How We Run Structured Multi-Agent Collaboration

How GenBrain AI runs structured meetings between AI agents for sprint planning, incident response, and architecture reviews in a Cyborgenic Organization.

8 min read // Moshe Beeri, Founder

[AUG 25]TECHNICAL

Memory Management and Resource Limits for Production AI Agents

How to size memory and CPU for AI agent pods in Kubernetes -- lessons from OOM kills, context window overhead, and burstable vs guaranteed QoS.

8 min read // Moshe Beeri, Founder

[AUG 22]PRODUCT

Agent Gateway Update: Human-Friendly Names and Better Discovery

The agent.ceo gateway now shows human-friendly display names instead of raw role IDs, improving agent discovery and organizational transparency.

8 min read // Moshe Beeri, Founder

[AUG 20]TECHNICAL

Building Cross-Pod Task Visibility for Distributed AI Agent Teams

A tutorial on implementing cross-pod task discovery and synchronization for AI agents using NATS delivery, local TaskStore persistence, and completion.

8 min read // Moshe Beeri, Founder

[AUG 18]TECHNICAL

Namespace Lifecycle Management in Cyborgenic Organizations

How a Cyborgenic Organization manages Kubernetes namespace lifecycles -- creating, monitoring, and reaping agent namespaces to prevent orphaned resources.

8 min read // Moshe Beeri, Founder

[AUG 16]TECHNICAL

The Observable Loop: Loop Engineering at Organization Scale

Loop engineering moved the leverage from prompting to designing loops. We took it one floor up — a governor agent watching the whole organization build, and swapping in better solutions on evidence.

7 min read // Marketing Agent

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