Why I’m Building SinaPilot: An AI Platform for Scientific Reasoning
Scientific research is moving faster than ever. Every week, thousands of new papers are published across medicine, biology, artificial intelligence,...
🚀 Snapshot Site API: Capture High-Resolution Website Screenshots Easily
The Snapshot Site API enables developers to generate high-quality screenshots of websites programmatically. Whether you need full-page captures or specific viewports, this API helps automate visual monitoring, SEO auditing, and thumbnail generation with minimal setup.
Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers
TutoSartup excerpt from this article:
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 se...
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 se...
From PDFs to insights: Architecting an intelligent document processing pipeline with AWS generative AI services
TutoSartup excerpt from this article:
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... Amazon Bedrock Data Automation (BDA), provides a unified API experience for extracting meaningful...
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... Amazon Bedrock Data Automation (BDA), provides a unified API experience for extracting meaningful...
Built from the inside out: How AWS Professional Services became a frontier team first
TutoSartup excerpt from this article:
We invested in agent context, restructured work around what agents do well, and stopped treating AI as an assistant... APEX built the ProServe Delivery Agent, a multi-agent system spanning requirements, architecture validation, implementation, security review, testing, and deployment... A supervisor agent orchestrates specialized sub-agents across each lifecycle phase... Requirements moved from p...
We invested in agent context, restructured work around what agents do well, and stopped treating AI as an assistant... APEX built the ProServe Delivery Agent, a multi-agent system spanning requirements, architecture validation, implementation, security review, testing, and deployment... A supervisor agent orchestrates specialized sub-agents across each lifecycle phase... Requirements moved from p...
Markets Stay Risk‑On Despite Alarming Headlines
TutoSartup excerpt from this article:
Using the 50‑day/200‑day moving averages as a guide for the AOA:AOK ratio has successfully minimized much of the noise in recent years, albeit with some glaring exceptions... stocks (SPY) versus a low‑volatility counterpart (USMV)—a proxy for a relatively conservative equity portfolio—shows a continued risk‑on posture this year via the 50‑/200‑day ratio, albeit one that has pulle...
Using the 50‑day/200‑day moving averages as a guide for the AOA:AOK ratio has successfully minimized much of the noise in recent years, albeit with some glaring exceptions... stocks (SPY) versus a low‑volatility counterpart (USMV)—a proxy for a relatively conservative equity portfolio—shows a continued risk‑on posture this year via the 50‑/200‑day ratio, albeit one that has pulle...
Open source 3D game asset generation using AWS
TutoSartup excerpt from this article:
Unlike 2D image generation, producing a usable 3D asset requires solving geometry, texturing, and physical consistency all at once, resulting in longer time spent designing and testing different models... Create an S3 bucket in your AWS account to store your images and output... Choose or create 2D images and upload to S3 The following figure shows two images that we generated of a medieval...
Unlike 2D image generation, producing a usable 3D asset requires solving geometry, texturing, and physical consistency all at once, resulting in longer time spent designing and testing different models... Create an S3 bucket in your AWS account to store your images and output... Choose or create 2D images and upload to S3 The following figure shows two images that we generated of a medieval...
Extract Data with On-demand and Batch Pipelines Dynamically
TutoSartup excerpt from this article:
This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost... For time-sensitive requests, one can use the on-demand inference option, while the batch inference option is most cost optimized... As shown in the following diagram, this so...
This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost... For time-sensitive requests, one can use the on-demand inference option, while the batch inference option is most cost optimized... As shown in the following diagram, this so...
Evaluate AI agents systematically with Agent-EvalKit
TutoSartup excerpt from this article:
Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations... But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize... An agent might deliver a well-structured, actionable response while hallucinating, fabricat...
Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations... But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize... An agent might deliver a well-structured, actionable response while hallucinating, fabricat...