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Technology Intelligence, Labs & Stacks

Empirical hardware benchmarks, curated AI stacks, and architectural breakdowns. Zero PR regurgitation.

guides2026-09-10

Vertex AI Agents Guide

Deploy production AI agents on Google Vertex AI — LangGraph setup, Agent Engine runtime, checkpoints, observability, and Claude/Gemini model routing.

guides2026-09-10

Two-Model Code Review

Run code reviews with two different LLMs — one finds issues, one verifies fixes — to catch blind spots and reduce false positives before merge.

guides2026-09-10

TradingAgents Guide

Learn the TradingAgents multi-agent debate architecture — analyst teams, bull/bear research, and risk deliberation — for educational simulation and software design.

guides2026-09-10

SubQ Quick Brief

When to use SubQ's long-context architecture — 12M-token windows, SSA attention, API setup, and workflows for repos, research, and agent state.

guides2026-09-10

Solo AI Blueprint

A solo founder's operating system for shipping with AI — daily rhythm, tool stack, agent workflows, and guardrails that keep one person moving like a small team.

guides2026-09-10

Replace SaaS Guide

Audit your SaaS stack, identify AI-replaceable tools, and migrate to self-hosted or custom workflows — with a cost spreadsheet and rollback plan.

guides2026-09-10

Postcard Outreach Playbook

A direct-mail playbook for B2B and local outreach — list building, copy templates, design specs, mailing logistics, and follow-up sequences that convert.

guides2026-09-10

Open Generative AI Guide

Self-host an open generative AI studio for image, video, and cinema workflows — local models, API routing, and a repeatable production pipeline.

guides2026-09-10

Marketing Skills Guide

Build a reusable AI marketing stack — positioning, copy, SEO briefs, ad variants, and analytics — without hiring a full team.

guides2026-09-10

Humanizer 29 Patterns

Twenty-nine editing patterns that strip the AI gloss from drafts — swap robotic phrasing for writing that sounds like a person wrote it.

guides2026-09-10

Hermes Agent Guide

Install, configure, and run Hermes Agent — Nous Research's open-source autonomous agent for terminal, messaging, and always-on workflows.

tools2026-09-10

TradePulse Research Playbook

Market intelligence workflow for operators — AI-assisted research checklists, screening prompts, and sentiment notes. Research and ops tooling, not financial advice.

tools2026-09-10

Repurpose Hub Playbook

Operator workflow to turn one source asset into 10+ channel-ready formats — blog cutdowns, threads, scripts, carousels, and email — with copy-paste AI prompts and a publishing matrix.

tools2026-09-10

Infographic Multiplier Playbook

Turn one topic into four platform-ready infographic layouts — portrait, square, story, and landscape — using AI prompts, content specs, and an operator export checklist.

tools2026-09-10

AI Prompt Generator Playbook

Operator playbook for building copy-paste prompts that work in ChatGPT, Claude, and Gemini — templates, quality gates, and a meta-prompt to generate three variants fast.

tools2026-09-09

The AI Coding Stack I Would Use in 2026: An Opinionated Operator Guide

Cutting through the marketing noise. The exact configuration of IDEs, terminal agents, context rules, and model routing we run daily in production.

Key Verdict:The winning stack is not a single tool, but a bifurcated workflow: Cursor for inline fast iteration, and Claude Code CLI for autonomous multi-file architecture refactoring.
6 min readRead Dispatch
hardware2026-09-07

Lab Report: Claude Code vs. Cursor Agent on 50 Full-Stack Refactors

We benchmarked Claude Code CLI and Cursor Agent across 50 production repository migrations. Here are the hard metrics on token cost, execution time, and error rates.

Key Verdict:Claude Code CLI completed 44/50 refactors without syntax breakage due to subagent task isolation, while Cursor Agent completed edits 2.4x faster on single-file modifications.
7 min readRead Dispatch
hardware2026-09-04

Local Models Actually Worth Running Offline in 2026

A benchmarked guide to open-weights models that match commercial APIs on specific tasks without internet connectivity or cloud telemetry.

Key Verdict:Don't run a generic 70B model locally when specialized 14B and 32B models outperform it on coding and extraction tasks.
5 min readRead Dispatch