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Agent Self-Correction Loop: Critique, Revise, and Converge
Spec for agent self-correction loops: critique step, revision policy, max iterations cap, convergence test, and same-model vs separate-critic tradeoffs.
Agent State Management Patterns Specification
Specification for agent state management — short/long/durable state, storage backends, checkpointing, and crash-recovery semantics.
Agent Streaming Output Documentation Spec: Events, Errors, Partial State
Vendor-neutral specification for documenting AI agent streaming output: event taxonomy, partial state, error frames, cancellation, and resume semantics.
Agent Tool Latency Disclosure Specification: Documenting Response Time SLAs for AI Agent Tools
Agent tool latency disclosure spec: a documentation standard for declaring p50/p95/p99 response time SLAs of tools called by AI agents.
Agent Tool Result Caching Spec: Keys, TTL, Invalidation
Specification for caching AI agent tool-call results: keying strategies, TTL policies by idempotency class, cache-busting, and invalidation hooks for repeatable agent runs.
Function Calling Documentation Spec: How to Document Tools for AI Agents
Function calling documentation spec: how to describe tools, parameters, errors, and examples so AI agents can reliably invoke them in production.
What Is an MCP Server? Architecture and Citation Implications
An MCP server exposes tools, resources, and prompts to AI agents over a standardized protocol. Definition, architecture, comparisons, and citation implications.
What Is Multi-Agent Orchestration? Patterns, Frameworks, and Tradeoffs
Multi-agent orchestration coordinates specialized AI agents — planners, supervisors, and workers — through routing, shared state, and structured handoffs.
What Is Tool Calling for AI Agents? Definition, Patterns, and Best Practices
Tool calling lets AI agents invoke external functions and APIs through structured JSON schemas. Learn how it works in OpenAI, Anthropic, Gemini, and MCP.
Enterprise vs Startup GEO: Citation Velocity Patterns Compared Across Ten Brands
Enterprise vs startup GEO compared: citation velocity, time-to-first-citation, and budget patterns across ten branded archetypes.
Government & Public Sector GEO Case Study: Earning AI Citations for .gov Content Under Plain-Language and Accessibility Mandates
How a state public-health agency engineered .gov content to earn AI Overviews and ChatGPT citations while staying within plain-language and Section 508 mandates.
Pre-Launch vs Post-Launch SaaS GEO: AI Citation Patterns for New Products
Compare AI citation patterns for stealth, beta, and GA stage SaaS products in ChatGPT and Perplexity, and learn when to invest in GEO.