The True Cost of Agentic Workflows
Hidden compute and API costs accumulate fast when deploying autonomous agent loops in production. A candid look at the real economics of agentic workloads.
Insights & Research
The Engine Room
From Silicon to Strategy. The latest thinking from the frontlines of building AI.
Latest Publication
Automated Agent Trajectory Evaluation
Building synthetic adversaries that grade and automatically improve agent execution paths. A hands-on framework for agent quality assurance.
Read Full ArticleStrategy & Economics
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The End of Prompting: Shifting to Objective-Driven AI
Why prompt engineering is a transitional skill and objective formulation is the future of human-computer interaction.
The ROI of Edge AI: Shifting Inference from Cloud to Prosumer Hardware
The economic case for deploying local LLMs to eliminate API costs and latency. Why relying entirely on cloud inference is a massive tax on your margins.
NIST AI RMF in Practice: Governance as a Growth Driver
Flipping the script on compliance to accelerate time-to-market by pre-clearing security.
AI Infrastructure
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The Kubernetes for AI Paradigm
Native K8s orchestration is evolving to handle GPU scheduling, checkpointing, and live migration at the scale that AI demands.
Benchmarking Edge Silicon: NPU vs GPU Inference
NPUs promise efficient edge LLM inference, but how do they actually compare to discrete GPUs under real production workloads?
Serverless Inference: Conquering the 5-Second Cold Start
The infrastructure hacks required to make scale-to-zero LLM inference viable for production latency.
Hardware Acceleration for Vector DBs: Beyond CPU Constraints
Vector search has hit a physical wall. Explore why CPU-bound indexing fails at scale and how FPGAs and custom ASICs are redefining the database layer.
Agentic AI
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LLMs are Terrible Backends: Forcing Strict JSON Output
When you use LLMs as API endpoints, their probabilistic nature breaks downstream systems. Here is how to enforce strict JSON output through grammar-constrained generation and structured outputs.
Handling Context Window Limits in Multi-Agent Loops
Architectural patterns for summarizing, pruning, and passing context between collaborative subagents without hitting OOM errors.
State Management in LangGraph: Checkpointing and Time Travel
How to handle complex agent states, pause execution, and debug multi-agent loops via LangGraph checkpointers and time travel.
The Human-as-Orchestrator: Evolving HITL
Designing systems where humans provide strategic intent and override at checkpoints.
AI Engineering
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Real-Time Video/Vision Pipelines for Multimodal AI
Architecting low-latency streaming pipelines for continuous multi-modal ingestion without bottlenecking I/O.
Architecting the AI Gateway: Centralizing Token Routing and Fallbacks
Why enterprise teams are moving away from direct API calls and building internal proxy gateways to handle rate limits, caching, and automatic vendor failovers.
FlashAttention-3 vs. RingAttention: Memory Management for Infinite Context
A deep mechanical breakdown of how competing attention algorithms like FlashAttention-3 and RingAttention manage memory to scale LLMs beyond 1M tokens.
The 2026 Enterprise Stack: Integrating Hardware, Agents, and Strategy
A comprehensive reference architecture linking all four pillars.
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