Field notes from a working platform.
Writing from Drew Harris and Dr. Alan Kadish on how we build, what we've learned, and where the category is heading.
- SaaSleadership#1DH
Hiring for Altitude, Not Pedigree
In 2026, SaaS leaders are still getting hiring wrong. Here's how to stop chasing pedigrees and start screening for what actually delivers results.
Drew Harris · 2026-05-15 - AISaaSleadership
Your Calendar Is Your Cage
Even the most in-demand experts face an income ceiling because they can only sell their time. Here's how to break the hours-for-dollars trap.
Drew Harris · 2026-05-15 - AIarchitectureknowledge
Why Real Experts Won't Answer Your Question
Generic AI confidently gives answers, but true experts know the real work is in the questions they ask first. Here’s why that distinction matters.
Drew Harris · 2026-05-15 - comparisonevaluationzero-hallucination
Delphi vs Coachvox vs Apex Replicant: which AI clone platform in 2026?
Most comparisons of AI clone platforms evaluate the wrong things. They compare voice quality (every serious platform has it). They compare setup time (most are within a day of...
Drew Harris · 2026-04-22 · 10 min read - complianceregulatoryzero-hallucination
FINRA Rule 3110 + GenAI: what financial advisors need to know in 2026.
In its 2026 Annual Regulatory Oversight Report, FINRA extended Rule 3110's supervisory obligations explicitly to generative AI outputs, meaning every AI-generated communication a...
Drew Harris · 2026-04-21 · 9 min read - legalverticalzero-hallucination
AI clones for legal intake: prenup, PI, clinical research use cases.
AI clones are now practical for legal intake in three well-bounded use cases: prenuptial agreement qualification, personal-injury case screening, and clinical-research participant...
Drew Harris · 2026-04-19 · 9 min read - evaluationmethodologyzero-hallucination
Why most AI coaching clones fail at nuance (and how to test before you buy).
Most AI coaching clones fail at nuance for a specific reason: they're trained on an expert's content (blog posts, transcripts, books) instead of the expert's judgment.
Drew Harris · 2026-04-18 · 9 min read - monetizationbusiness-modelcomparison
Client Pays vs Expert Pays: which monetization model for AI coaching?
Client Pays (your client pays per session; you keep a revenue split, platform takes a share) works best when you already charge your human clients and the AI protégé is priced as...
Drew Harris · 2026-04-16 · 8 min read - accuracyevaluation-frameworkzero-hallucination
Can AI coaching clones hallucinate? How to evaluate accuracy.
Yes. Every AI coaching clone built on a general-purpose language model can hallucinate. The question is whether the platform's architecture structurally prevents it, how you...
Drew Harris · 2026-04-14 · 9 min read - securitycompliancezero-hallucination
How do AI digital proteges handle PII?
A well-built AI digital protégé should detect and redact personal data before it enters the vector store, not after a client reads it back.
Drew Harris · 2026-04-12 · 8 min read - knowledge-managementproductzero-hallucination
RSS-powered knowledge bases: how to keep an AI clone current.
An AI clone's knowledge base is only as good as the last time you updated it. RSS-powered ingestion closes that gap: you register an RSS feed (your blog, a podcast feed, a...
Drew Harris · 2026-04-10 · 7 min read - methodologyonboardingzero-hallucination
What is the 60-Minute Method?
The 60-Minute Method is Apex Replicant's structured interview protocol: a voice-first, AI-guided conversation that extracts the tacit layer of an expert's practice in roughly...
Drew Harris · 2026-04-08 · 7 min read - architectureaccuracyzero-hallucination
What is a zero-hallucination AI architecture?
A zero-hallucination AI architecture is one where the model is structurally prevented from answering outside retrieved, grounded content, not merely instructed to stay grounded.
Drew Harris · 2026-04-06 · 8 min read