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.
Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments
TutoSartup excerpt from this article:
Ampersend and Amazon Bedrock AgentCore Payments are addressing one of the hardest problems in agentic AI... How do autonomous agents pay for services without developers building bespoke billing integrations, credential management, and payment orchestration from scratch? As more services shift to pay-per-use models built for machine consumption, agents need a way to transact programmatically, ins...
Ampersend and Amazon Bedrock AgentCore Payments are addressing one of the hardest problems in agentic AI... How do autonomous agents pay for services without developers building bespoke billing integrations, credential management, and payment orchestration from scratch? As more services shift to pay-per-use models built for machine consumption, agents need a way to transact programmatically, ins...
Secure multi-tenant RAG with Amazon Bedrock and Verified Permissions
TutoSartup excerpt from this article:
Metadata filtering is a strong foundation, but it creates a gap... A previous post, Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering, demonstrates how to use Amazon Simple Storage Service (Amazon S3) folder structures and metadata filtering to segregate data between tenants within a single knowledge base... This post extends that foundation by...
Metadata filtering is a strong foundation, but it creates a gap... A previous post, Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering, demonstrates how to use Amazon Simple Storage Service (Amazon S3) folder structures and metadata filtering to segregate data between tenants within a single knowledge base... This post extends that foundation by...
Modernizing financial analytics with Amazon SageMaker Unified Studio
TutoSartup excerpt from this article:
Their Data Engineering Team had built a data lake on AWS using Amazon Simple Storage Service (Amazon S3), Amazon Athena, and AWS Glue for data ingestion and processing... Data had to be copied from Amazon S3 into this external application before analysts could run any report, its license consumed a significant portion of their budget despite low utilization, and every integration with AWS service...
Their Data Engineering Team had built a data lake on AWS using Amazon Simple Storage Service (Amazon S3), Amazon Athena, and AWS Glue for data ingestion and processing... Data had to be copied from Amazon S3 into this external application before analysts could run any report, its license consumed a significant portion of their budget despite low utilization, and every integration with AWS service...
Architecting AI-powered resilience framework on AWS
TutoSartup excerpt from this article:
When your production system goes down, you often discover the hard way that your resilience testing missed critical dependencies... Building an AI-powered resilience framework on AWS helps you find those weaknesses before your customers do... They fail because resilience is assumed, not proven... In this post, you’ll learn how to architect and implement a five-layer AI-powered resilience framew...
When your production system goes down, you often discover the hard way that your resilience testing missed critical dependencies... Building an AI-powered resilience framework on AWS helps you find those weaknesses before your customers do... They fail because resilience is assumed, not proven... In this post, you’ll learn how to architect and implement a five-layer AI-powered resilience framew...
Embed the world: Multimodal AI for searchable aerial imagery at scale
TutoSartup excerpt from this article:
You can use it as a strong default for geospatial semantic search... The strongest validation of this work is what Vexcel did with it...Turning a library of aerial imagery into a natural-language-searchable knowledge base is a problem that touches every industry that relies on geospatial data — insurance, real estate, government, infrastructure, and agriculture... We worked with Vexcel, an ae...
You can use it as a strong default for geospatial semantic search... The strongest validation of this work is what Vexcel did with it...Turning a library of aerial imagery into a natural-language-searchable knowledge base is a problem that touches every industry that relies on geospatial data — insurance, real estate, government, infrastructure, and agriculture... We worked with Vexcel, an ae...
Running ComfyUI workflows on Amazon SageMaker AI processing jobs
TutoSartup excerpt from this article:
You can automate the creation of revenue-driving images, audio, and video at scale with AI... In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch... You learn how to set up the infrastructure using AWS Cloud Development Kit (AWS CDK), configure GPU-accelerated processing, and autom...
You can automate the creation of revenue-driving images, audio, and video at scale with AI... In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch... You learn how to set up the infrastructure using AWS Cloud Development Kit (AWS CDK), configure GPU-accelerated processing, and autom...
Prevent data exfiltration: AWS egress controls for cloud workloads
TutoSartup excerpt from this article:
For example, when CVE-2025-55182 (React2Shell) was publicly disclosed in December 2025, multiple organized groups began exploitation attempts within hours, targeting unpatched React Server Components to achieve remote code execution... As organizations deploy AI agents with access to tools, APIs, and code interpreters, these agents become high-value targets, and their outbound network activity mu...
For example, when CVE-2025-55182 (React2Shell) was publicly disclosed in December 2025, multiple organized groups began exploitation attempts within hours, targeting unpatched React Server Components to achieve remote code execution... As organizations deploy AI agents with access to tools, APIs, and code interpreters, these agents become high-value targets, and their outbound network activity mu...