Research & Data Reports
Data-driven insights into email deliverability, communication infrastructure, and developer tooling. Our research is powered by real-world data from billions of messages processed through Transactional.
Latest Research
In-depth analysis and benchmarks to help you make informed decisions about your communication infrastructure.
Context Engineering: From Prompt Engineering to Information Architecture in 2026
An in-depth analysis of how context engineering is replacing prompt engineering as the critical skill for production AI systems, covering six core techniques, token economics, and enterprise adoption trends.
Multi-Agent AI Orchestration: Architecture Patterns for Production Systems
A systematic analysis of production multi-agent architectures — supervisor, swarm, pipeline, and hierarchical patterns — covering trust dynamics, failure modes, communication protocols, and framework maturity across 350+ research papers and 120 enterprise deployments.
AI Code Generation in Production: The 84% Adoption, 10% Productivity Paradox
A comprehensive analysis of the gap between AI coding assistant adoption rates and measured productivity gains, covering benchmark realities, security concerns, multi-agent shifts, and the code review bottleneck.
The Synthetic Data Crisis: Model Collapse, Data Provenance, and Training Quality
An in-depth analysis of how AI-generated content is contaminating training data pipelines, triggering model collapse, and why data provenance has become a first-class engineering requirement for reliable AI systems.
LLM Inference Optimization: The Engineering Guide to Cost, Latency, and Scale
A comprehensive technical review of LLM inference optimization techniques — KV cache quantization, speculative decoding, model routing, and the full serving stack — with benchmarks across 15 model families and 8 serving frameworks.
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