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14 notes · one useful idea, under six minutes
Agentic AI development is software engineering, extending beyond simple prompts to complex, autonomous systems. It requires structured architectures, robust evaluation, and careful state management for production reliability.
8 min
Deploying open source LLMs demands a clear choice: on-premise or managed cloud. On-premise offers control and data sovereignty but requires significant MLOps investment. Managed cloud provides speed and scalability at a higher per-inferenc…
8 min
Enterprise LLM TCO extends significantly beyond token costs, including infrastructure, data transfer, and fine-tuning. Model these over a 2-3 year horizon to compare API services against self-hosting.
8 min
Selecting an AI coding assistant requires a structured evaluation beyond token costs and raw output. Focus on data security, integration, TCO, and compliance for enterprise deployment.
8 min
Implementing Retrieval Augmented Generation (RAG) requires a clear build-vs-buy strategy. Weigh internal engineering capacity against vendor lock-in and operational overhead to deliver business value.
8 min
Selecting an enterprise vector database hinges on aligning with your operational model and existing data infrastructure. Managed services offer simplicity but carry higher long-term costs and potential vendor lock-in.
9 min
Selecting an enterprise LLM vendor demands evaluating total cost of ownership, data privacy, and deployment flexibility, not just raw performance. Strategic choices between API access, dedicated instances, and self-hosting define long-term…
8 min
Pure build or buy approaches for enterprise AI agents are often insufficient. A hybrid strategy combines commercial orchestration frameworks with custom business logic to balance speed, expertise, and IP.
8 min
A dedicated vector database is critical when existing solutions bottleneck performance, accuracy, or operational overhead at scale. Evaluate your data volume and query patterns to decide if a specialized store is necessary.
8 min
Generic LLM benchmarks offer little insight into enterprise value. Align your LLM evaluation with specific business KPIs to prove tangible ROI and guide further investment.
7 min