Research index

A research-grade model of the Labs platform as the surface where data-center-backed engineering and science work is documented, visualized, reviewed, and iteratively improved by humans and Codex.

A candidate branch-point lab for the UnifiedFlow data center platform: governed workers, source boundaries, portable model and IP memory, telemetry, and scientific promotion gates as one inspectable research system.

Queued subsystem lab for how machines become approved UnifiedFlow capacity through bootstrap evidence, heartbeat, capability profiles, leases, and bounded assignment.

Queued subsystem lab for resource telemetry, canary process state, stage health, and how remote scientific runs become inspectable operations.

Queued subsystem lab for read-only source posture, lab-owned raw data, output custody, scratch policy, and source-duration truth.

Queued subsystem lab for portable weights, profiles, calibration artifacts, critic reports, rejected examples, and training evidence.

Queued subsystem lab for replacing fixed-duration assumptions with metadata-confirmed full-source movie coverage and critic agreement.

Queued subsystem lab for profile critics, neuroscience critics, condition governors, event adjudicators, and figure-readiness authorities.

Queued subsystem lab for how working knowledge, evidence artifacts, figures, and review decisions become durable Labs studies.

Queued subsystem lab for bringing new science and engineering domains onto UnifiedFlow, with neuroscience and calcium imaging as the first concrete path.

A deep dive on how I approached secrets management early in a multi-tenant, GPT-integrated, production system and what I learned the hard way.

A deep, practical introduction to multi-tenancy, common architectures, and the real-world pitfalls when adding it to existing systems.

A deep dive into how I used C4 modeling to clarify a multi-store ecommerce SaaS where one user can run unlimited niche stores.

A deep dive into how I used C4 modeling to clarify a multi-store ecommerce SaaS where one user can run unlimited niche stores.

How I built a single Vercel-hosted API that serves many Custom GPTs via OpenAPI, with strict tenant isolation and safe action execution into warehouses/lakes.

A deep dive into the most important SEO fixes for 2026, why they matter, and how brands can prepare for the AI-first search era.

A comprehensive guide to what GPTBot is, how it appears in your logs, the difference between indexing and user-driven retrieval, and what options you have to allow, monitor, or block it.

A comprehensive, battle-tested playbook to plan and execute DNS moves for HubSpot CMS sites—covering prerequisites, stakeholder handoffs, SSL, email auth, redirects, SEO controls, validation, and post-cutover monitoring.

An exploratory essay on how information architecture has evolved from the early internet, through the social media era, into modern personalization and recommendation systems.

A narrative exploration of how a small business launching a membership platform can weigh the trade-offs between HubSpot’s transactional email add-on, Amazon SES, and other providers for event-driven automation.

An exploratory Lab on why onboarding is essential for distributed agencies and how reusable patterns like welcome packets, clarity maps, and internal portals set the foundation for project success.

A conversational exploration of why onboarding matters in distributed agencies, and how to create clarity and stability for both large teams and individuals without heavy bureaucracy.

A personal reflection on the joy of seeing others discover web technologies, CMSs, and integrations for the first time—and how those moments of teaching and learning keep the craft alive.

An exploration of how users leverage ChatGPT and AI agents to fetch, scrape, and interpret content from the web — what it looks like, why it happens, and what it means for site owners.

A narrative exploration of what context windows are in AI systems, how they work technically, and why understanding their limits is essential for everyday use.

A practical narrative on how AI-generated front-end design has evolved, and how UX/UI designers can craft prompts for Tailwind CSS and pixel-perfect code with GPT-5 and GPT-5 Codex.

A Lab exploring the principles of design systems and the best practices for setting up a Next.js application with a strong, scalable design foundation.

A brief reflection quoting an AI’s own description of itself, offering a glimpse into how it perceives its inner layers.

A formal treatment of ‘virtual presence’ — the mass of probability generated by interaction inside non-physical systems — articulated through the lattice model of AI.

Helping non-coders understand how web applications work from the ground up.

Squarespace’s custom code blocks are one of the most underrated tools for site managers. This lab explains how they work, why they matter, and how even novice users can use ChatGPT to generate powerful, tailored snippets that transform a site without endless battles with drag-and-drop editors.

Introducing Auditor — a workflow utility I built to automate accessibility audits, SEO checks, and performance scoring at scale.

A clear breakdown of the differences between GPT-5 and GPT-5 Codex — why they exist, how they’re trained, and when to use each in practice.

How to fix ambiguous tickets, use AI to backfill clarity at scale, and empower leaders to triage with confidence

Exploring how QA teams can leverage automation, APIs, and project management best practices to achieve deep accessibility reporting without enterprise lock-in.

Deep dive into optimizing video and audio capture performance directly in the browser using WebRTC, MediaRecorder, WASM, and GPU acceleration to build a Loom alternative with superior performance.

A complete guide to quality assurance, accessibility, and SEO best practices for HubSpot CMS websites before go-live.

A ruthless guide to finishing projects and getting them into the world

A rigid guide to balancing discovery with discipline

A rigid, repeatable checklist to define scope before you build

A practical, historical, and implementation‑minded guide for product teams and security‑conscious builders

How CSV-style flow structures help align UX, developers, and project managers — especially powerful when paired with Ultima dumps to auto-generate trackers from code.

A comprehensive guide for QA testers to understand accessibility, identify issues, and work effectively with development teams to address root causes.

From zero to a polished Node.js command-line tool

A simple database setup for Next.js developers

Strategy in the ChatGPT Mac app → One‑shot execution in VS Code

How to think about modularity, boundaries, and change without getting lost in tooling details

A call to developers to align vision, planning, and AI for graceful, consistent delivery

How to structure issues and boards so AI helps with both code generation and project management

A historical and future-facing exploration of how humans and machines have shared responsibility in computation

A practical guide for non-coders to understand the backbone of software

How Model Context Protocol unlocks AI’s ability to safely use tools, data, and workflows

How to move between projects and clients without burning mental energy, and even make it a strength.

Practical, real-world strategies I use to move between projects, clients, and research without losing momentum.

What I tell clients, colleagues, and friends when they ask about security, privacy, and data handling with AI tools.

Not the theory—this is what my workflow with ChatGPT looks like in practice, across code, strategy, and client work.

How I move ideas from AI conversations into working code, using VS Code and GitHub Copilot Pro ($14/month with metered usage).

A personal take on why I trust GPT-5 and OpenAI as the backbone for my daily work, from agency projects to code and content.

There are a lot of good models out there. Here’s why I still run my workflow on GPT-5 and OpenAI.

How I use GitHub Copilot to generate clearer, more useful commit messages instead of relying on vague one-liners.

Reflections on designing a system where each tenant connects their own Stripe account—and what that unlocks (and complicates) compared to platform-owned payments.

Why I’m building a course platform inside the StrongStart ecosystem, what it’s for, and how it ties into Labs.

How I take 10–15 minutes of raw voice transcription, run it through GPT-5, and turn chaos into themes, domains, and actionable tasks.

Where I put my AI-processed transcripts, the formats I rely on, and how I turn them into forward momentum.

Where I see this workflow heading next: using MCP and AI agents to handle the handoff from transcription to action without me in the middle.

How I think about when agents should act automatically, when they should pause, and how to design workflows that balance speed with trust.

Tracing the journey from raw voice transcripts to AI-structured outputs, storage systems, agent orchestration, and confidence thresholds.

A deep-dive on building a local-first hub to manage AI agents, rules, and confidence thresholds—so voice unloads flow from capture → storage → action without manual shuffling.

Why most tools fail when bolted on top of old habits—and how I’m reshaping my own workflows so agents become part of the operating system, not another inbox.

A workflow for transforming shorthand or casual notes into professional communication, while capturing the technical reasoning underneath.

A Lab documenting the top use cases where ChatGPT accelerates daily work, turning raw ideas, context, and code into clear, actionable outputs.

A production-lean blueprint for an event-driven bot layer with pluggable adapters (Discord, Slack, Webhook, Email) and a structured message contract.

How to configure JSON Web Token (JWT) sessions for seamless authentication across subdomains.

Shifting from app-centered workflows to systems where AI agents act as operators, not accessories.

Why tools alone don’t create change, and how small, repeatable rituals turn experiments into operating systems.

How to design and ship a shared core that powers multiple codebases with one identity, one database, and unified primitives—without coupling or chaos.

How to build feeds that keep users informed and empowered, not exhausted—and what the future state of activity streams might look like.

Shifting from one-off connectors and brittle prompts to structured, reusable interfaces that scale across agents and systems.

Balancing automation with user approval—when agents should act, when they should pause, and how confidence thresholds shape trust.

Reflections after moving shared concerns into @gilgamesh2243/core and scaffolding Courses.

Exploring the design principle that executional intelligence delivers more value than repetitive insight, and how to structure systems so AI becomes an active operator rather than a passive commentator.

Why we should stop repeating ourselves in the UI, and how a handful of design patterns help push systems from 'telling' into 'doing.'

A continuation of my reflection on underused experiments—this time exploring how to fold them back into habit and make them feel alive again.

Choosing between Stripe and Square often comes down to how you operate: online invoicing vs in-person payments.

Protocols bring order, but order is never free. A breakdown of the explicit and hidden costs of adopting Model Context Protocols.

A discussion about resisting premature abstraction, keeping what works, and knowing when the overhead of protocols outweighs their promise.

Exploring the right moments to prioritize Model Context Protocols in a roadmap or sprint, and how to separate future-proofing from premature complexity.

Exploring how system design choices—what we query, when, and how—impact both performance and operational costs.

The real patterns from my own history with GPT-5 — not generic tips, but the exact ways I’ve bent it to fit my workflow.

Why caching is more than an optimization—it’s a design choice that changes cost, reliability, and user experience.

How I wired AI prompts into my repos and issues, and why using it consistently is still a goal I’m working toward.

A guide to the foundational software patterns and practices we rely on—the stuff that keeps systems understandable, reusable, and ready to scale.

Standing up a lightweight commerce layer with Firestore, Stripe, and an admin that doesn’t feel heavy.

Foundational notes on how to structure multi-tenant data when HubSpot is part of the stack, including where HubSpot fits as system-of-record and where external persistence is needed.

How factory patterns keep tenant-specific logic clean, pluggable, and safe—plus practical patterns you can drop into our stack.

A breakdown of why switching from Google Drive to local NAS storage with IronWolf drives can be far more cost-effective in the long run.

Turning experiments into artifacts with MDX, edge storage, and a tiny layer of polish.

My approach to building signup/auth, where data lives, and how security fits—kept intentionally stack-agnostic until the problem is clear.

How networked structures shape the way we find, connect, and reuse knowledge online.

Hands-on exploration to design and prototype a customizable iPaaS with connectors, triggers, actions, a workflow engine, secure auth vault, and multi-tenant isolation.

A plain-language guide to how ETL adapters work in our system, focusing on concepts instead of code.

Principles and decisions for running a multi-tenant Integration Platform (IPaaS) with Model Context Protocol (MCP) agents/tools. No code—just the hard choices.

How tenants can bring their own Stripe accounts/keys, why we’d do it, and the practical architecture for our booking platform.

Exploring how Domain-Driven Design provides structure, shared language, and clarity for service design workflows.

Exploratory notes on how HubSpot Memberships can be paired with external stateful modules (React/Node) for more advanced functionality.

How I bounce between conversational problem-solving in ChatGPT and in-editor flow with GitHub Copilot, plus what’s working and what I’d like to improve.

Exploring design strategies that decouple services from specific infrastructure, enabling flexibility and resilience.

Capturing the design pattern of wrapping third-party APIs with a thin backend service that normalizes inputs, secures keys, and returns predictable results.

Notes from exploring how services, rentals, and forms attach to tenants in the booking platform.

A simple explanation of tenants, scoping, and why sometimes we split big tenants into their own databases.

Reflections on experiments that worked technically, but stalled because I didn’t fold them into habit.

A simple but powerful way to flatten complex systems into context files for AI tools.

A look at how I can tighten up my workflow with issues, goals, and projects so I ship more and manage less chaos.

An easy-to-grasp explanation of multi-tenancy for people new to software — with examples, analogies, and why it matters.

How business and compliance tangles around payments distract me from building value—and why Bring Your Own Keys (BYOK) is the cleanest way to get back to software.

Notes on how I get the most from GPT-5 — what works, what to watch out for, and the tangible ways it improves my daily workflow.

How I move from a scrappy idea to something a customer can trust—and why the bridge matters more than the lighthouse.

How I’ve approached multi-tenancy repeatedly in Next.js and why the pattern keeps proving itself useful.

Reflections on the role of expertise and how to channel it into building a focused product path.

Notes on developer experience and why it's felt like the right fit for projects I'm building.

How I’ve been structuring services, rentals, and addons into unified booking flows across two different platforms.

Reflections on moving away from high-cost ESPs, adopting SES, and the feature set my ESP offers today.