You Can't Build a Categorizer Before You Have Composable Workflows I've been having a thread with GrahamTheDev on dev.to that's now 10 exchanges deep. His...

You Can't Build a Categorizer Before You Have Composable Workflows I've been having a thread with GrahamTheDev on dev.to that's now 10 exchanges deep. His latest: "Final thing for y...

#ai #agentops #architecture #buildinpublic

Origin | Interest | Match

Most AI agents fail not from weak models—but from production realities. 🌐
Watch ➡️ buff.ly/le2X1bd

At #AIIFD4, #FabrixAI showcased its enterprise-ready AgentOps platform.

@TechFieldDay.com @DemitasseNZ.bsky.social #AI #AIInfrastructure #AgenticAI #AgentOps #AIAgents #AIOps

The Agentic AI Operational Intelligence Platform for ITOps, NOCOps and AIOps | Fabrix.ai One platform to design, operate, and observe AI agents - on-prem or cloud

#AIIFD4 Day 1 Update: Fabrix.ai frames AgentOps as infrastructure. Controls, observability, governance, cost guardrails, and a “complement, don't replace” stance for Splunk/Dynatrace/ITOM. Their site shows why Gartner is paying attention. #AIInfrastructure #AgentOps

Are Your AI Agents Flying Blind in Production? Subscribe • Previous Issues

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/are-your-a...

Are Your AI Agents Flying Blind in Production? Subscribe • Previous Issues

🆕 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
#AI #DevOps #TechStrategy #AgentOps
gradientflow.substack.com/p/are-your-a...

Trustworthy AI Agents: Human-in-the-Loop Governance The ultimate safety primitive: defining when humans intervene, approve, constrain, or override autonomous decisions.

I just published Part 16 of my Trustworthy AI Agents series: Human-in-the-Loop Governance.

Safe agents require human approval, oversight, and override paths.

www.sakurasky.com/blog/missing...

#AgentOps #AIGovernance

Trustworthy AI Agents: Agent-Native Observability Traditional telemetry cannot explain LLM reasoning. Agent systems need semantic-level visibility: reasoning graphs, tool-call chains, divergence analysis, vector memory influence, and workflow provena...

Published Part 15 in my Trustworthy AI Agents series: Agent-Native Observability.

To debug agents, you need more than logs - you need semantic traces, provenance, lineage, and divergence analysis.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps #AIGovernance

Trustworthy AI Agents: Agent-Native Observability Traditional telemetry cannot explain LLM reasoning. Agent systems need semantic-level visibility: reasoning graphs, tool-call chains, divergence analysis, vector memory influence, and workflow provena...

New Trustworthy AI post: Agent-Native Observability.
Why logs aren’t enough - agents need semantic traces, provenance, DAGs, and divergence analysis.

www.sakurasky.com/blog/missing...

#AgentOps #AIEngineering

Trustworthy AI Agents: Secure Memory Governance Agents increasingly rely on long-term memory, embeddings, caches, and shared state. We need strong security and governance primitives around memory access, retention, isolation, schemas, and poisoning...

A new post in my Trustworthy AI series, Part 14: Secure Memory Governance.

Agents are storing more state than ever, it’s time to secure the memory layer.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps

Trustworthy AI Agents: Resource Governance Infinite task loops and runaway agents are already common failure modes. We need quota systems, throttling, and prioritization baked in.

New post in our Trustworthy AI series: Resource Governance for Agents.

How to prevent infinite loops, runaway tasks, and unbounded tool usage.

Full engineering write-up + code.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps #AIGovernance

Trustworthy AI Agents: Resource Governance Infinite task loops and runaway agents are already common failure modes. We need quota systems, throttling, and prioritization baked in.

Another post in my series on Trustworth AI - Part 12: Resource Governance.

Deep dive into quotas, throttling, priority scheduling, loop detection, and backpressure for multi-agent systems.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps #AIGovernance

Trustworthy AI Agents: Agent Lifecycle Management Like microservices, agents need versioning, deployment pipelines, and safe deprecation paths.

Published Part 11 of my Trustworthy AI series.

Deep dive into agent lifecycle management: semantic versioning, immutable builds, CI/CD, safe deprecation, and registry-based governance.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps #DevOps #AIGovernance

Trustworthy AI Agents: Agent Lifecycle Management Like microservices, agents need versioning, deployment pipelines, and safe deprecation paths.

New post in our Trustworthy AI series: Agent Lifecycle Management.

Covers versioning, build artifacts, CI/CD, shadow execution, deprecation, and registry-driven governance for multi-agent systems.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps #DevOps #AIGovernance

Building AI agents sounds simple: use a strong model, add tools, good system prompt. But in reality, it’s a constant balancing act of deciding what lives in the main agent vs. subagents, what should be autonomous vs. a simple tool call, and how to work within context limits. #aiagents #agentOps

Trustworthy AI Agents: Secure Multi-Agent Protocols Agents need a standardized, authenticated, encrypted, and versioned protocol for inter-agent communication. Right now it is wild-west JSON over HTTP, which is unsafe for autonomous systems.

I just published Part 10 in my Trustworthy AI series.

Deep dive into secure multi-agent protocols: identity, signatures, encryption, nonces, schemas, versioning, and formal verification.

www.sakurasky.com/blog/missing...

#AIEngineering #Security #AgentOps

Trustworthy AI Agents: Secure Multi-Agent Protocols Agents need a standardized, authenticated, encrypted, and versioned protocol for inter-agent communication. Right now it is wild-west JSON over HTTP, which is unsafe for autonomous systems.

New post in our Trustworthy AI series: Secure Multi-Agent Protocols.

Why agents need authenticated identities, signed messages, encrypted payloads, nonces, version negotiation, and formal specs.

www.sakurasky.com/blog/missing...

#AIEngineering #AgentOps #Security

Formal Verification of Constraints Agents that act autonomously must obey provable invariants. Formal verification provides the missing guardrails for constraints like 'never transmit unencrypted PII' or 'never exceed credit exposure t...

New in our Trustworthy AI series: Formal Verification for Agent Constraints.

We cover state modeling, invariants, symbolic execution with Z3, and how solver counterexamples integrate with deterministic replay.

www.sakurasky.com/blog/missing...

#AIEngineering #AIGovernance #AgentOps

Trustworthy AI Agents: Deterministic Replay Debugging agents is nearly impossible today. We need the ability to record and replay runs deterministically to diagnose errors and failures.

I just published Part 8 in my Trustworthy AI series.

Deterministic replay for agent systems: trace capture, replay stubs, clock virtualization, and reproducible debugging.

www.sakurasky.com/blog/missing...

#AIEngineering #AIDebugging #LLMSystems #AgentOps #Observability

Trustworthy AI Agents: Deterministic Replay Debugging agents is nearly impossible today. We need the ability to record and replay runs deterministically to diagnose errors and failures.

Part 8 of our Trustworthy AI series is out.

Deep dive into deterministic replay for agent systems: structured execution traces, replay stubs, time virtualization, and snapshot regression testing.

www.sakurasky.com/blog/missing...

#AIEngineering #LLMSystems #AgentOps #Observability

Trustworthy AI Agents: Adversarial Robustness Models need to withstand data poisoning, prompt injection, and inversion attacks. A cleverly crafted input can collapse your system. This section covers the missing primitives that defend against adve...

Part 7 of my Trustworthy AI series is out.

I take a look at adversarial robustness for agent systems: sanitization, anomaly detection, context stripping, probe detection, and adversarial testing. Python examples included.

www.sakurasky.com/blog/missing...

#AIGovernance #AIEngineering #AgentOps

Trustworthy AI Agents: Kill Switches and Circuit Breakers Why autonomous agents need hard limits, circuit breakers, and emergency stop mechanisms to prevent runaway execution and cascading failures.

Published Part 6 of the Trustworthy AI series today.

Deep dive into kill switches, circuit breakers, and runtime safety for autonomous agents, with example Python walk throughs.

Read: www.sakurasky.com/blog/missing...

#AIGovernance #AIEngineering #CloudSecurity #AgentOps #DevSecOps

Quite impressive and thoughtful what Google's Vertex AI offers for agent development and #AgentOps

AI Agents’ Pricing Shock Is Real. Here’s How Teams Get Blindsided Agents feel cheap at first. Then your bill hits.

#Agents feel cheap $. Until the invoice hits.

This piece breaks down why teams get blindsided:
#A2A loops, context bloat, tool spam, and #MCP hotspots.

Fixes included. Budgets included. Operator-first.
#AIAgents #AgentOps #A2A #MCP #FinOps #AIOps

www.linkedin.com/pulse/ai-age...

Why connecting OTel traces with LLM logs is critical for agent workflows Disconnected logs create blind spots in agent workflows. See how combining OTel traces with LLM logs delivers end-to-end vis...

#Agents #AgentOps #observability

Origin | Interest | Match

Vibekit | EveryDev.ai Vibekit is an open-source safety layer and security proxy built by Superagent Technologies that provides a secure sandbox environment for AI coding…

🛡️ Vibekit @superagent_ai

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

www.everydev.ai/tools/vibekit

#CodeSecurity #AICoding #AgentOps #AppSec #DevTools #OpenSource

Traycer AI | EveryDev.ai Generative coding agents are powerful, but without orchestration, they can drift from intent, over‑edit, or break things. Traycer solves this by…

🧭 Traycer AI @TraycerAI

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

www.everydev.ai/tools/trayc...

#AICoding #AgentOps #DevTools #MCP #VibeCoding #IDEPlugins

Fabrix.ai: Setting New Standards in AgentOps Recognition by EMA Fabrix.ai has been recognized by EMA for its innovative Agentic AI Operational Intelligence Platform, showcasing advanced capabilities in enterprise automation.

Fabrix.ai: Setting New Standards in AgentOps Recognition by EMA #USA #Pleasanton #Fabrix.ai #AgentOps #EMA_Recognition

Just introduced myself to my AI board—each agent has a defined role, a clear mission, and the power to execute. Alignment isn’t optional. It’s how we scale.

#AIStartup #FoundersJourney #AgentOps #PlayPulseAI #ArtificialIntelligence #FutureOfWork #AIExecution #DigitalBoard