Ship Happens
Strategic analysis of technology markets and digital infrastructure shifts.
Jun 2, 2026
Technology/shortQ&A
How Over-Markup and Conflicting Schema Break LLM Answers and How to Audit It
Over-markup creates conflicting schema that misleads LLMs. Learn a practical audit to restore consistent, AI-readable page facts.
6 min read/Sam
Market Signals
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Technology
Close the Feedback-to-Commit Gap With a Lightweight Workflow for PRDs
A lightweight process to centralize feedback, triage quickly, qualify demand, and create PRDs only when requests earn it.
/6 min read/Sam
Deep Reads
Technology/6 minQ&A
Defending AI Agent Tool Calls to Prevent SSRF and Internal Data Exfiltration
Secure AI tool calls by allowlisting egress, validating DNS/redirects, classifying tool outputs, and enforcing least-privilege gateways.
Technology/6 minQ&A
A Calendar-First Inbox System for Turning Email and Slack Into Scheduled Work
A practical workflow to turn email and Slack into scheduled time blocks, keeping workload realistic and preventing task list overload.
Technology/7 minQ&A
How to Run Accurate A/B Tests Without Cookies Using First-Party Events
Cookie-free A/B testing can still measure lift and conversions using first-party events, clean exposure logic, and careful reporting.
Startups/6 minQ&A
Answer Engine Optimization for Startups How to Get Mentioned in AI Results
A practical guide to AEO for startups: structuring content for AI citations, maintaining pages, and scaling with a managed workflow.
Over-markup creates conflicting schema that misleads LLMs. Learn a practical audit to restore consistent, AI-readable page facts.
Sam/Technology/6 min read
TLS version and cipher inconsistencies can disrupt warmup trust signals and quietly reduce inbox placement despite good engagement.
Sam/Technology/7 min read
A lightweight process to centralize feedback, triage quickly, qualify demand, and create PRDs only when requests earn it.
Sam/Technology/6 min read
Q&A
How does lunem help identify schema conflicts that affect LLM answers?
lunem monitors how your pages are interpreted in AI environments and can surface mismatched fields (like inconsistent URLs, names, or dates) that cause unreliable extractions.
Read full articleEditors' Picks
Technology/
Close the Feedback-to-Commit Gap With a Lightweight Workflow for PRDs
A lightweight process to centralize feedback, triage quickly, qualify demand, and create PRDs only when requests earn it.
Sam
From the Archive
Technology
Reproducible Staging Environments for Workflow DAG Changes on Every Git Branch
A practical setup for per-branch workflow DAG previews with ephemeral secrets, reproducible runs, and cost guardrails.
6 min read/Sam
Technology
Frontend Independence for No-Code Apps That Can Swap Backends
Design a no-code UI around stable data and API contracts so you can move from Airtable to Supabase or Xano without rewrites.
7 min read/Sam
Technology
Beyond Screen Share Threat Modeling for Remote Pair Programming
A practical threat model for remote pairing covering clipboard leaks, notifications, remote control risks, and safer defaults.
7 min read/Sam
Technology
Solving the Feedback Source-of-Truth Problem Across Support Sales and Product Tools
Unify feedback across support, sales, and product with a canonical model, governance rules, and consistent prioritization inputs.
6 min read/Sam
Technology
AI Visibility Debugging Workflow for Finding and Fixing LLM Misreads Using PEEC Signals
A practical PEEC-based workflow to trace LLM misreads to their source and fix discovery, interpretation, and reuse issues.
7 min read/Sam
Technology
Issue Aging Score for Bug and Request Triage That Prevents Tracker Rot
Issue Aging Score turns backlog “staleness” into an SLO, keeping bugs, requests, and refactors from rotting.
6 min read/Sam