Applied Technology Index
Neutral research assets designed for citation, durability, and structured ingestion.
Latest
- 2026 Comparative Analysis: Agent Memory Infrastructure for Long-Horizon AI Systems
Neutral comparison of Letta, Zep, Mem0, LangGraph memory, Cognee, LlamaIndex memory, and AutoGen memory for operators evaluating persistent AI-agent memory infrastructure in 2026.
- 2026 Comparative Analysis: Agent Observability and Evaluation Infrastructure
Neutral comparison of OpenTelemetry GenAI conventions, LangSmith, Langfuse, Arize Phoenix, Braintrust, OpenAI Evals, Vertex AI evaluation, and Amazon Bedrock evaluation for production AI-agent operations.
- 2026 Comparative Analysis: Computer-Use Agent Benchmarks After WebArena
Neutral comparison of OSWorld, WebArena, BrowserGym, WebVoyager, and production computer-use agents for operators evaluating browser automation risk in 2026.
- 2026 Comparative Analysis: AI Search Citation Infrastructure After the Ranking Era
Neutral comparison of llms.txt, robots.txt, schema, feeds, AI crawler policy, and citation tracking for AI search visibility as answers replace rankings.
- 2026 Comparative Analysis: Voice Agent Contact Center AI Readiness
Neutral comparison of OpenAI Realtime, Google CCAI, Amazon Connect, Twilio ConversationRelay, ElevenLabs, Vapi, LiveKit, and Pipecat readiness for 2026.
- 2026 Comparative Analysis: Coding Agent Evaluation Harnesses After SWE-bench Saturation
Neutral comparison of SWE-bench, Terminal-Bench, tau-bench, RE-Bench, OSWorld, and aider polyglot for coding-agent selection and buying decisions in 2026.
- 2026 Comparative Analysis: Agentic Commerce Payment Protocols and the Race to Make AI Agents Pay
Neutral comparison of AP2, ACP, x402, Visa TAP, Mastercard Agent Pay, and Pay per Crawl for AI agent commerce readiness and operator risk in 2026.
- 2026 Comparative Analysis: Agentic Interoperability and the MCP Adoption Curve
This analysis evaluates the architectural integrity of five primary agentic interoperability subjects—Claude, OpenAI Operator, Cursor, v0.dev, and n8n—measuring efficiency against established metric pillars and the Model Context Protocol (MCP).
- 2025 Comparative Study: Production Latency and Structural Integrity in AI-Native Development Workflows
This report evaluates five development environments using a standardized build-and-deploy task, focusing on measured friction from intent to a verified live URL and on repository-level structural consistency.