What is White Label All About? Benefits, and Examples
Here's how to make a white-label model work for your brand.
Salesforce Einstein + Agentforce Blog6 min read
Best Practices
48 stories
Agent follow-ups and reminders
Replicas agents can schedule their own follow-ups: one-time reminders and recurring check-ins that land in the same chat and delete themselves when done.
Replicas Blog2 min read
OpenClaw API Costs: Per-Model Prices and Real Bills
What OpenClaw API costs per model: Opus $5/$25, Sonnet $3/$15, Haiku $1/$5. Real bills from real users, plus where the hidden token spend goes.
BetterClaw Blog25 min read
OpenClaw Memory Compaction: What It Is and How It Works
OpenClaw compaction summarizes old messages to save tokens. It's not a bug. Here's when it triggers, what the safeguard log means, and how to control it.
BetterClaw Blog11 min read
OpenClaw AGENTS.md Token Drain: 60% Cost Reduction (2026)
Your AGENTS.md adds 15,000 tokens to every API call. Trim it, cache it, and route heartbeats to save $139/month. Here is the 10-minute fix.
BetterClaw Blog9 min read
Biomedical Imaging's Real Bottleneck Is the Data, Not the Model
Part I — The problemFour sectors, one bottleneckHospitals and health systems generate...
Databricks Blog17 min read
Share GPU clusters across teams with isolation and fairness using Amazon SageMaker HyperPod
A reference architecture for securely sharing one Amazon SageMaker HyperPod EKS cluster across multiple teams, using AWS IAM Identity Center for authentication, per-team SageMaker Domains and Kubernetes namespaces for isolation, HyperPod Task Governance for fairness, and namespace-level cost…
AWS ML Blog27 min read
Now GA: Building permission-aware Databricks Apps with on-behalf-of-user authorization
Databricks Apps lets developers build and deploy data and AI applications directly on the Databricks platform...
Databricks Blog7 min read
Direct Vs Indirect Competitors: Spot the Differences
Every business has competitors — but not all of them look the way you'd expect.
Salesforce Einstein + Agentforce Blog8 min read
Best practices for Amazon SageMaker HyperPod administration and governance
Learn how to administer Amazon SageMaker HyperPod through Amazon SageMaker Unified Studio while preserving cluster governance. This post shows platform teams how to design infrastructure boundaries, govern access, allocate shared capacity, and operate HyperPod consistently across the organization,…
AWS ML Blog13 min read
Don’t Just Appreciate Your Reps This Customer Service Week: Engage Them All Year Long — With or Without Donuts
Here are 4 ways to show your hard-working customer service reps that you’re invested in their success and well-being every single day.
Salesforce Einstein + Agentforce Blog6 min read
AGENTS.md Best Practices: Template, Examples, Guide
How to write an AGENTS.md that AI coding agents follow: template, examples, size limits, how Codex and Claude Code load it, and mistakes to avoid.
BetterClaw Blog25 min read
How to choose your first Genie Agents for maximum impact
With more than 1 million Genie Agents created in 2026 alone, the question facing...
Databricks Blog6 min read
Connecting customer context to measurable ROI with agentic marketing
Marketing leaders today face greater complexity than ever before. They work with...
Databricks Blog12 min read
A practical guide to cost optimization with Lakebase Postgres
Lakebase is a fully managed Postgres database, built for the operational realities...
Databricks Blog12 min read
Prompt engineering fundamentals for Amazon Quick
Prompt engineering in Amazon Quick shapes how accurately its AI-powered features respond to your requests. Part 1 of a two-part series covers the foundational principles and reusable frameworks (specificity, context-setting, few-shot examples, and the CRISPE framework) for consistent, high-quality…
AWS ML Blog11 min read
Prompt engineering by Quick component: Patterns and pitfalls
Part 2 of our Amazon Quick prompt engineering series goes component by component. Learn the prompt patterns that get the best results from Amazon Quick Research, Quick Flows, Quick Sight, chat agents, and action integrations, plus the common pitfalls to avoid.
AWS ML Blog12 min read
Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses AI agents to extract and verify contract fields, then answers aggregate and single-contract…
AWS ML Blog12 min read
Showing 18 of 48 stories
Load more storiesAiByts Weekly Brief
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts