Blog
Notes on AI voice agents and automation
Practical writing on building, measuring, and running AI voice agents that never miss a call.
Welcome to the Everlight blog
What we're building and why we started writing.
Measuring call outcomes that actually matter
Why booked appointments beat call volume, and how to track them.
Can AI Go Mainstream by 2035? Risks from Chips & Conflict
Why geopolitical conflict and demographic collapse in chip-producing nations could keep AI from becoming truly mainstream by 2035.
How to Choose an AI Recruiter That’s Legal | EverlightAI
What to look for when choosing an AI recruiter: compliance, fairness, and transparency, from the EEOC to the EU AI Act.
The AI Slop Age Is Ending. Here’s Why That’s a Good Thing
Why the era of cheap, mass-produced AI output is ending, and how efficiency will replace waste in generative AI.
Why Do LLMs Respond to Tips, Em Dashes, and Imperfect Data?
Why LLMs respond to tips, em dashes, and imperfect data, and what that reveals about the statistical mind of large language models.
Mapping the AI Compliance Landscape: A Global Guide to Staying Legal and Ethical
A global tour of AI regulations, from GDPR and the EU AI Act to emerging national rules, and how to stay legal and ethical.
The Prompt as a Confession
How our prompts reveal more about us than we realize, and what AI conversations say about who we really are.
AI Recruitment Compliance Checklist (U.S. 2025 Guide)
A U.S. 2025 checklist for using AI in recruiting, from EEOC rules to bias audits and candidate data privacy.
Key Data Risks When Using GPT Agents
The key data risks to weigh before you connect a GPT agent to your business, and how to protect yourself.
5 Ways Small Businesses Can Use AI Without Breaking the Bank
Five practical ways small businesses can use AI without breaking the bank.
Is Your AI Hiring Tool Helping You—or Hurting You? 5 Questions to Ask Vendors Before You Buy
Five questions to ask AI hiring vendors before you buy, from bias audits to explainability.
Why It Pays to Be Nice to AI: The Secret to Getting Better Responses from LLMs
Why being polite to AI models gets you better responses, and what that says about how they work.
Privacy in the Age of AI: Global Regulations Businesses Must Know
The global privacy regulations businesses must know, from GDPR and the EU AI Act to China's PIPL.
Title: What the New York Court Ruling Means for ChatGPT Logs and Your Business Data
What the New York court ruling on ChatGPT logs means for your business data and retention.
So if this isn’t really AI, what exactly is it doing?
If LLMs aren't really thinking, what exactly are they doing? A plain-English explanation.
The Loudest Voice Wins? How AI, the Web, and Truth Collide
When models train on the whole web, the loudest voices win. How training data shapes what AI believes.
Inside GibberLink: The AI-to-AI Voice Protocol That Leaves Human Language Behind
Inside GibberLink: the AI-to-AI voice protocol that leaves human language behind.
LLMs Aren’t Thinking — They’re Just Really Good at Finishing Your Sentences
LLMs aren't thinking, they're just really good at finishing your sentences, and that matters for how you use them.
Explainable AI: Why You Can’t Trust What You Don’t Understand
Why you can't trust what you don't understand, and why explainability has to be part of enterprise AI.
AI Doing Cool Stuff: 5 Real-World Applications You Probably Didn’t Know About
Five real-world AI applications you probably didn't know about, from agriculture to assistive technology.
AI as the Great Equalizer of Expression
How AI is giving a voice to people who aren't natural writers or speakers, and why that's a great equalizer.
The Coming Precision Age: Why Sloppy Language Is a Liability in an AI World
Why sloppy language is becoming a liability, and how LLMs are ushering in a new precision age.
The Temptation to Over-Answer
The temptation to over-answer: why AI agents should know their boundaries and be honest about what they don't know.
Does AI Tell the Truth? What I’ve Learned About Accuracy, Hallucinations, and Getting the Right Output
What I've learned about AI accuracy, hallucinations, and getting the output you can actually trust.
The Hidden Power of Follow-Up: How AI Agents Turn Maybes into Yeses
How AI agents turn maybes into yeses, and why follow-up is one of the most underrated revenue levers.
What I’ve Learned About Writing AI Prompts That Actually Work—Every Time
What I've learned about writing AI prompts that actually work, every time.
The AI Receptionist Test: Can a Digital Agent Handle Your Front Desk?
Can a digital agent handle your front desk? What the AI receptionist test really measures.
AI Agents vs Chatbots: What’s the Real Difference?
AI agents aren't chatbots with better grammar. Here's the real difference and why it matters.
Stop Doing Prompt Gymnastics: How to Actually Get What You Want from AI
Stop stacking rules and over-polishing prompts. Here's how to actually get what you want from AI.
Why the Best Businesses in 2025 Will Run on AI
Why the best-run businesses in 2025 won't be the ones hiring faster, they'll be the ones automating smarter.
Building a Digital Workforce: Hiring Your First AI Agent
A practical guide to hiring your first AI agent, from scoping the job to onboarding and iteration.
5 Ways AI Agents Are Saving Businesses 20+ Hours a Week
Five ways AI agents are saving businesses 20 or more hours a week.
Multi-Agent Systems: What They Are and Why They Matter
What multi-agent systems are, why they matter, and how AI teams are starting to work together.
Tool-Using Agents: How AI Can Take Action, Not Just Talk
How AI can take action, not just talk, and why tool-using agents are the next step.
How AI Agents Know What You Mean-The Power of AI Intent Recognition
How AI agents know what you mean, and why intent recognition is the secret behind smarter conversations.
Prompt Engineering 101: How AI Agents Get Smart Instructions
Prompt engineering 101: how AI agents get smart instructions and why phrasing matters.
What Is “Stateful” AI?
Stateless vs. stateful AI: why it matters, and how memory changes what an agent can do.
So, What Is an AI Agent?
What is an AI agent? A beginner's guide with real-world insight.
What is AI Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)? A beginner's guide to the protocol connecting AI to tools.
24/7 Support Without Burnout: How AI Assistants Are Redefining Customer Service
How AI assistants deliver round-the-clock support without burning out your team.
AI vs. Human Support: When to Automate and When to Stay Personal
When to automate and when to stay personal: a practical framework for AI vs. human support.
Are Customers Turned Off by AI Voice Agents? The Truth Backed by Real-World Data
Are customers turned off by AI voice agents? The truth, backed by real-world data.
How AI is Changing Customer Service: Real-World Examples and ROI Insights
How AI is changing customer service, with real-world examples and ROI insights.