Hire OpenClaw Agent as Co-worker | One click spin up on AWS
Three ways to deploy OpenClaw on AWS, with a step-by-step CloudFormation + Bedrock walkthrough — IAM role, SSM tunnel, Graviton instance, no open ports.
33 published pieces across AWS official blogs, the AWS Builder Center, and LinkedIn — organized into Agentic AI, Machine Learning, Data Science, AWS Cloud, and Responsible AI. Use the filter chips to narrow by topic.
Building, deploying, and operating autonomous agents on AWS — from one-click deployments to agent-driven ML training loops.
Three ways to deploy OpenClaw on AWS, with a step-by-step CloudFormation + Bedrock walkthrough — IAM role, SSM tunnel, Graviton instance, no open ports.
Teaching a coding agent to read training alerts, kill diverging runs, and converge on the optimal learning rate — using TinyGPT, Trackio, and HF Jobs.
A zero-dependency local Python GUI that converts Claude Code Skills into Kiro Powers — file remapping, frontmatter generation, and language auto-clean in one click.
Computer vision, conversational AI, and applied ML across agriculture, healthcare, sustainability, and partner enablement.
Identifying and counting fruit on trees for crop estimation using a custom Rekognition model — useful for tree leasing and yield forecasting.
Self-service appointment scheduling solution built with Amazon Lex and Amazon Connect, integrated with Meta. Co-written with Accenture.
Training and analysis workflows for the brand detection solution — labeling, model training, and evaluation pipelines.
How Accenture used DeepComposer to scale ML enablement across thousands of practitioners through a gamified league format.
Detecting crop disease through image analysis — a Rekognition Custom Labels model for early intervention in agriculture.
End-to-end solution architecture for brand visibility analysis — from data labeling to deployment.
ML-driven vegetation management for utilities — using satellite imagery to predict tree-power-line conflicts before outages happen.
Applying SageMaker and AWS Marketplace ML solutions to accelerate healthcare response — from clinical workflows to public-health analytics.
Data lakes, real-time streaming, and analytics architectures — Hudi on Athena, Kinesis-driven notifications, and VPC traffic intelligence.
Read-optimized querying of Apache Hudi tables on S3 using Athena — practical patterns for analytics on incrementally-updated data lakes.
Real-time event pipeline using Kinesis Data Streams from DynamoDB plus Flink-based analytics — for low-latency notifications at scale.
VPC flow log analytics pipeline using Kinesis and Athena — turning raw network telemetry into actionable security and operations insights.
DevOps, no-code, partner integrations, and cloud architecture — code reviews with CodeGuru, canary deployments, and AR/VR partner solutions.
Use the ML-based CodeGuru Reviewer alongside CodeCommit to automate code reviews and surface application performance recommendations.
Canary deployments for API Gateway service integrations — gradually shift traffic and monitor before full rollout.
Build a fully-functional expense tracker on Amazon Honeycode — no code required, end-to-end walkthrough.
How Accenture combined 5G, AR/VR, and AWS to redesign airport passenger experience — partner-led architecture deep-dive.
Mindful AI use, cognitive resilience, consciousness, and emotional intelligence — keeping humans sharp, aware, and well in an AI-saturated world.
Why people let AI think for them, the four cognitive losses that follow, and a simple chat-AI setting tweak to keep your critical thinking sharp.
A deliberate workflow for working with AI: ask the right question, exercise your own reasoning first, then use AI for hints, gap analysis, and turning clarity into action.
On why anthropomorphising AI distorts how we evaluate it — and what a more honest framing looks like.
On the gap between "next-token prediction" and emergent behaviour — and why interpretability research matters.
On Hawking's challenge to balance technological capability with mindful, ethical use.
On why awareness practices matter more in an AI-saturated information environment.
Mapping ML training metaphors onto human consciousness — meditation as the pre-training that shapes everything downstream.
Reframing the AI debate from machine capability to human depth-of-thought.
On treating each AI prompt as a reflection exercise rather than a shortcut around thinking.
A concrete checklist for turning AI use into a self-awareness practice.
A personal year-by-year narrative of how generative AI reshaped a builder's identity and intent.
A short diagnostic to surface blind spots in your relationship with attention and awareness.
A grounded metaphor for the hard problem of consciousness, accessible to engineers.
Practical guardrails for protecting mental health in a hyper-connected, AI-accelerated world.
Common patterns that erode EQ — and what to do about them.