digitado

Amazon Quick and Cisco Webex MCP servers can turn meeting prep and follow-up into a single conversational workflow. Instead of switching between Webex meetings, Vidcast videos, transcripts, recordings, and message spaces, users ask one assistant to gather the context they need. This post shows how to build a custom meeting prep and follow-up assistant using Amazon Quick and Cisco Webex MCP servers. From a single prompt, the agent finds an upcoming Webex meeting, reviews prior meeting summaries and […]

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Organizations process millions of documents daily, from insurance claims and invoices to legal contracts and medical records. While traditional optical character recognition (OCR) solutions extract text, they can’t understand context, relationships, or meaning embedded within complex documents. This limitation creates bottlenecks that require manual intervention, increasing processing time and costs while introducing potential errors. Amazon Bedrock Data Automation (BDA), provides a unified API experience for extracting meaningful insights from multimodal content, including documents, images, videos, and audio files. […]

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Enterprise AI evaluation should not be treated as a scorecard. It should be treated as the operating system for product improvement. Most teams start evaluating enterprise AI systems the same way: collect a few examples, ask people to rate the answers, add a dashboard, and call it an eval. That works for a demo. It does not work for a production enterprise assistant. Demo evals ask: “Was the answer good?” Production evals have to ask: “What failed, why did it […]

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Multi-Model Code Review One AI reviewer can miss the risky part of a pull request. Three AI reviewers can bury you in comments. The useful pattern is not “ask every model everything.” It is a small review system that routes models by lens, measures agreement, and leaves the final judgment to an engineer. AI code review is moving from novelty to normal workflow. OpenAI positions Codex as a coding agent for real engineering work and high-signal review. Anthropic documents […]

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The conversational AI that sits in your incident channel, talks to every tool you own in parallel, and tells you what’s actually broken — in plain English. In short On-call engineers don’t have a knowledge problem at 2 a.m. They have a tab problem. Splunk in one window, Observability in another, Jira, Confluence, ServiceNow, GitLab, and six alert sources screaming at once. The diagnosis is sitting in those tools — it just takes a tired human forty minutes to stitch it together. OpsAutoPilot […]

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Every conversation, AI starts with amnesia. But there’s a way to build genuine institutional memory — and it changes everything about how you work. There is a frustration every serious AI user eventually runs into, usually around the third or fourth week of daily use. You’ve built a relationship with this tool. You’ve taught it your voice, your audience, your business model, your preferred output format. Then you open a new conversation and it has forgotten all of it. Every session […]

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