AI Agents

Agent Evaluation at Scale

From spot-checks to continuous monitoring.

Agent Memory Layers Compared

Working, episodic, semantic — what to persist where.

Agent checkpointing

Deep-dive on checkpointing long-running agents: write-ahead event logs at step boundaries, snapshot-plus-tail resume, idempotency keys and reconciliat…

Context compaction for long-running agents

Deep-dive on context compaction: keeping a long agent session inside the context window by summarizing settled history rather than truncating it. Cove…

Context engineering architecture

Deep-dive on context engineering for agents: per-turn token budgets, history windowing and commitment-preserving compaction, tool-result hygiene and a…

Agent cost optimization -- controlling the token bill

Deep-dive on agent cost optimization: why agents are token-hungry (loops, growing context), the cost drivers, model routing, context management, promp…

Agent guardrails

Deep-dive on agent guardrails: input/output/action/budget control points, deterministic vs LLM-based checks, fail modes (block/warn/escalate), defense…

Human-in-the-loop -- humans and agents collaborating

Deep-dive on human-in-the-loop agents: approval gates, escalation, review/correction, and confidence-based involvement, interaction patterns (sync/asy…

Multi-Agent Orchestration Architecture in Depth

A 2500-word walkthrough of multi-agent orchestration: supervisor, workers, shared memory, message bus, budgets, and human-in-the-loop.

Agent output verification architecture

Deep-dive on verifying agent outputs before acting: structure, grounding, and policy layers; deterministic rules vs LLM-as-judge; the pass/repair/reje…

Agent planner architecture

Deep-dive on agent planner architecture: the reflection loop with state store, memory, guardrails, and observability.

Planning Pattern

How planning agents decompose complex tasks into subtasks before execution, improving reliability.

ReAct -- reasoning and acting interleaved

Deep-dive on the ReAct agent pattern: interleaving reasoning and acting (thought/action/observation), the loop, grounding in real results, adaptivity …

Agent request router architecture

Deep-dive on request routing for agent systems: a cheap classifier that scores intent and difficulty, a routing policy that dispatches to a cheap mode…

Agent tool sandboxing -- containing what agents can do

Deep-dive on agent tool sandboxing: the untrusted-agent threat (LLM-driven, prompt-injectable), sandboxing tool execution, isolation levels (process/c…

Agent semantic cache architecture

Deep-dive on semantic caching for LLM agents: embedding-based nearest-neighbor lookup, the similarity threshold as the precision/hit-rate dial, scope …

Speculative tool execution for agents

Deep-dive on speculative tool execution in LLM agents: predicting the next tool call, running read-only tools eagerly in a sandbox, committing on a ma…

Agent state machine architecture

Deep-dive on modeling an LLM agent as an explicit finite state machine: named states (intake, plan, act, observe, verify, respond, escalate, error) wi…

Agent task decomposition

Deep-dive on agent task decomposition: a decomposer that plans subtasks and dependencies, a scheduler that releases the ready set and exploits paralle…

Agent tool-call recovery architecture

Deep-dive on making agent tool calls robust: an error taxonomy (transient / invalid-input / permanent), idempotency keys for safe replay, exponential …

Agent tool schema versioning architecture

Deep-dive on versioning agent tool schemas: why a schema is a prompt not an API contract, immutable versioned registries, compatibility classification…

Tool selection architecture

Deep-dive on dynamic tool selection (tool retrieval) for agents whose catalog has grown to hundreds or thousands of tools, where listing them all in t…

Multi-Agent Collaboration & Negotiation: Orchestrating Collective Intelligence

Multi-Agent Collaboration & Negotiation: Orchestrating Collective Intelligence

Multi-Agent Communication Protocols: The Language of Collaboration

Multi-Agent Communication Protocols: The Language of Collaboration

Multi-Agent Systems: What Happens When a 'Developer' LLM Talks to a 'Reviewer' LLM?

The Rise of 'Thinking' Models: How Chain-of-Thought (CoT) Is Turning LLMs into Logic Engines