AI
Artificial intelligence, machine learning, and everything LLM
#2675: When AI Makes Documentation Effortless
The key documents every consultant needs—and how AI makes them effortless to create and maintain.
#2674: Why Your Agent's Context Window Is Getting Eaten Before You Start
Stop shipping the whole toolbox to every session. A bridge plugin pattern that fetches skills on demand instead.
#2673: The Embedding Coupling Problem: Editing Vector Stores
Can you edit or delete individual chunks in Pinecone? And can you actually back up a vector index? Yes—but with critical caveats.
#2672: When a Startup Claims to Break the Quadratic Wall
A startup claims linear attention scaling at 12M tokens, beating GPT-5.5 on retrieval benchmarks.
#2669: Low-Touch Lead Qualification for Solo Consultants
Stop wasting hours on calls with unqualified leads. Learn low-touch vetting that filters bad fits without sounding hostile.
#2668: When a Flamethrower Is Overkill
Tesseract, EasyOCR, or a cloud vision model? How to build a fast, reliable label scanner for real-world conditions.
#2665: Partner Certs vs Personal Certs: What Actually Matters
Solo operators face structural barriers in vendor partner programs. Here's how personal and partner certifications actually differ.
#2664: Can You Trust an LLM's Raw Knowledge?
Why pre-trained knowledge isn't reliable for facts — and what actually makes models useful.
#2657: When Puppeteers Stopped Hiding
Background removal isn't magic — it's multiple AI systems working in sequence. Here's what's actually happening under the hood.
#2653: The Hidden Infrastructure of American Puppetry
Tracing the surprising institutional depth of American puppetry, from UConn's puppet arts program to the Henson revolution.
#2651: AI Training Itself: Student, Teacher, and Grader
Can models generate their own training data and judge their own outputs? The promise and pitfalls of fully AI-led pipelines.
#2650: How to Catch an LLM's Bad Writing Habits
A practical guide to analyzing podcast transcripts for repetitive language and dialogue patterns — from Python word counts to embedding clustering.
#2649: Freelancing Without Getting Burned: Clients, Contracts & Cash Flow
How many clients do you need to survive? And what contract clauses actually protect you?
#2647: Enforcing Async Boundaries When Clients Call Anytime
How to choose the right async tool, set boundaries with clients, and where AI fits in.
#2645: How to Document Failures for Your AI Second Brain
Stop writing diary entries. Start writing retrospectives your AI agent can actually use.
#2644: Crafting Agendas That Actually Work (With AI)
Stop writing table-of-contents agendas. Learn the diplomat’s method for crafting meetings that actually achieve their goals.
#2643: How Stenographers Type 300 Words Per Minute
Court reporters don’t type letters—they chord syllables at 300 words per minute. Here’s how it works and why AI can’t replace them yet.
#2641: Bridging Analog and Digital Note-Taking
How Nano Banana finally solves the text rendering problem, turning messy whiteboard photos into polished tech diagrams.
#2640: Why Instructional Models Beat Conversational for Batch AI
Beyond cheaper tokens—how batch inference changes AI workflows and why instructional models beat conversational ones for automated jobs.
#2639: The Hidden Layer That Makes Search Work
Why your search results miss the mark — and how cross-encoders fix it.