Notes from the honest twin.
How we think about grounding, citations, and AI that admits what it doesn't know — written by the people building it.
July 28, 2026 · 5 min read
hiy.ai vs Delphi: a head-to-head from the competitor writing it
We make hiy, so read accordingly. Delphi's live pricing and features against ours — voice and training scale on their side; citations on every plan, honest gaps, and a $49 founding price on ours.
Read it →July 28, 2026 · 5 min read
A Chatbase alternative for creators: when the product is you
We compete with Chatbase for part of this job, so read accordingly. Chatbase is a support desk for company websites; a creator needs a twin that answers as a person — with receipts, not message credits.
Read it →July 28, 2026 · 5 min read
Coachvox alternative: an honest comparison for coaches
We make a Coachvox competitor, so read accordingly. What Coachvox verifiably offers, where hiy bets differently — citations, a gap queue, and answers that are never paywalled — and three tests to decide.
Read it →July 28, 2026 · 5 min read
An AI twin for coaches: fewer FAQ calls, better-fit clients
The three jobs an AI twin does for a coaching practice: repeat client questions answered with receipts, discovery calls that filter themselves, and prices quoted from your real services list.
Read it →July 28, 2026 · 5 min read
An AI twin for consultants: your frameworks, cited and in scope
Consultants sell frameworks and positions — which get misquoted the moment they leave your mouth. How a twin cites the real source, refuses adjacent domains, and captures leads with the question attached.
Read it →July 28, 2026 · 5 min read
An AI twin for course creators: student questions, answered from the curriculum
Students ask what lesson 14 already answers. How a twin cites the exact lesson, keeps answers current with corrections when content goes stale, and turns unanswered questions into your next module.
Read it →July 28, 2026 · 5 min read
An AI twin for YouTubers: answer the comments your videos already answered
Your back catalog already answered most of your comments and DMs. How video transcripts become a twin that says which video covers what, cites the source, and surfaces your next video idea.
Read it →July 27, 2026 · 6 min read
How to make an AI version of yourself (free, in about ten minutes)
A practical guide to creating an AI version of yourself: what material to use, how grounding works, how to test it before anyone sees it, and the mistakes that make AI clones untrustworthy.
Read it →July 27, 2026 · 5 min read
Can I make an AI clone of myself? Yes — here's how to do it safely
You can build an AI clone of yourself today. The real questions are consent, disclosure, and control — a safety checklist for anyone putting an AI version of themselves online.
Read it →July 27, 2026 · 5 min read
An AI chatbot trained on your own data: what that actually means
"Trained on your data" hides three very different techniques. A plain explanation of grounding vs fine-tuning, why citations matter, and how to tell if a chatbot really knows your content.
Read it →July 27, 2026 · 4 min read
Adding an AI chatbot to your website — one line, no developer
What to look for in a website AI chatbot: grounding in your own content, honest fallbacks, lead capture, and an embed that doesn't slow your page down.
Read it →July 27, 2026 · 6 min read
AI tools for coaches: what's actually worth adopting
Beyond the hype: the four jobs AI genuinely does well for coaches — scheduling, notes, content repurposing, and answering the questions you repeat — and how to pick tools that don't put words in your mouth.
Read it →July 27, 2026 · 5 min read
AI for consultants: reclaim the hours you spend repeating yourself
Consultants sell judgment but spend evenings on repeated pre-sales questions. How an AI twin trained on your own thinking answers them accurately, captures the lead, and hands you the conversation.
Read it →July 27, 2026 · 5 min read
What is an AI twin used for? Seven real jobs
Concrete uses for an AI twin: the expert link-in-bio, pre-sales answering, always-open office hours, product support, internal team knowledge, course companions, and candidate screening.
Read it →July 27, 2026 · 4 min read
Digital twin vs AI twin vs AI persona: which is which?
Three overlapping terms, three different things. Engineering digital twins simulate machines; AI twins answer as a real person from their material; personas are invented characters. A field guide.
Read it →July 27, 2026 · 5 min read
Delphi.ai alternatives: an honest comparison (from a competitor)
We build a Delphi alternative, so read this knowing that. What Delphi does well, where hiy differs — citations by default, honest gaps, a lower founding price — and how to choose.
Read it →July 27, 2026 · 5 min read
You answer the same twenty questions. Here's the system that ends it
Repetitive questions are a signal, not a nuisance. A three-step system — capture, canonize, automate with receipts — that turns your most-repeated answers into an asset instead of an evening chore.
Read it →July 27, 2026 · 4 min read
Introducing hiy: cited answers from your own work
An AI twin that answers your audience in your voice, shows the passage behind every grounded answer, and says so when it doesn't know. Here's what shipped, and what we believe.
Read it →July 27, 2026 · 5 min read
What is an AI twin — and what makes one trustworthy?
A plain definition of AI twins, the three ways they go wrong, and the specific mechanics — citations, honest gaps, identity review — that separate a trustworthy one from a chatbot in a costume.
Read it →July 27, 2026 · 4 min read
Why your AI twin should say “I don't know”
Confident guessing is the default failure mode of AI assistants. Refusing it isn't a limitation — it's the feature that makes an expert's twin worth trusting, and it generates the exact data that makes the twin better.
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