Paulo Frugis

AWS validated the gateway pattern for Claude Code and Claude Desktop. An architecture report on how Elevata extended the same control plane across Claude Code, Claude Desktop 3P, and Codex on Bedrock — with the real spend dashboard.

Compare Sonnet 5 and Opus 5 pricing, model IDs, and context limits, then plan an evaluation of cost per accepted result.

Understand Claude Tag identity, tool access, and data boundaries in Slack: Anthropic-hosted sessions, ZDR exclusion, and the role of AWS controls.

Evaluate AWS Lambda MicroVMs for AI-agent sandboxes: lifecycle, isolation, networking, costs, and image-version rollback.

Claude Opus 4.8 improves on published benchmarks, adds effort controls, ships Dynamic Workflows, and keeps Opus 4.7 pricing — and is still not an obvious blanket upgrade. A practical guide to testing it against Opus 4.7, GPT-5.5, and Amazon Nova on AWS, with cost per successful task at the center.

Learn how AWS-first teams can design governed AI agent sandboxes with scoped IAM, MCP tool gateways, network controls, observability, approvals, and a safe pilot path.

AWS MCP Server general availability guide for secure AI agent access to AWS through MCP, IAM, CloudWatch, CloudTrail, sandboxed tools, and safe pilots.

Set up Codex on Bedrock with Sol and compare GPT-6 Astra availability, model IDs, regions, pricing, and client support.

Understand the Opus 4.7 migration: token usage, tool behavior, and regression tests before changing a model already in production.

NVIDIA GTC 2026 marked a decisive shift from training to inference. The Vera Rubin architecture promises 10x efficiency gains, the NemoClaw platform brings autonomous agent orchestration, and AWS was named the primary scale partner. Here is what it means for teams running AI workloads on AWS.

Configure Claude Code and Desktop on Bedrock with Sonnet 5, Opus 5, AWS SSO, and approved inference profiles. Compare Invoke and Mantle controls before rollout.

By Paulo Frugis, CTO at Elevata The Productivity Paradox and the Next Evolution of Enterprise AI For the last two years, the corporate world has been locked in a “Productivity Paradox.” We have access to the most powerful Large Language Models (LLMs) in history, yet aggregate productivity has not skyrocketed as predicted. The reason? A […]

By Paulo Frugis – Elevata’s CTO We are witnessing a quiet but violent shift in the software landscape. For the past two years, the industry has been in the “Honeymoon Phase” of Generative AI, obsessed with Chatbots, Copilots, and RAG (Retrieval-Augmented Generation) systems that summarize PDFs. That phase is ending. The market is no longer […]