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How-To Guides

Step-by-step setup guides, developer tutorials, and practical walkthroughs for building and deploying agentic AI workflows.

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How to Set Up OpenAI Codex CLI on Windows Using WSL: Step-by-Step Guide

A step-by-step guide to setting up OpenAI's Codex CLI on Windows using WSL2, VS Code, Git, and GitHub CLI. Go from a Windows machine to running AI-assisted code in under an hour.

  • Inside WSL2, Codex runs in its Linux sandbox instead of the secondary native Windows path
  • The standalone installer is now the primary Codex install path on WSL
  • Approval modes let you choose how much Codex does before it asks
  • npm install remains a validated fallback when your team standardizes on Node and nvm
  • AGENTS.md gives Codex the same project-rule context that CLAUDE.md gives Claude Code
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How to Set Up OpenAI Codex CLI on Windows Using WSL: Step-by-Step Guide

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Understanding the RFP Response Workflow: The Importance of Pre-Mapped DDQ Formats
How-To Guides

Understanding the RFP Response Workflow: The Importance of Pre-Mapped DDQ Formats

Pre-mapped DDQ formats like ILPA, AIMA, GIPS and 408(b)(2) turn every due diligence questionnaire into a structured lookup, so RFP teams spend their time on the narrative instead of the formatting.

Run Codex as an Operating System
How-To Guides

Run Codex as an Operating System

Seven practices that turn Codex from a coding assistant into a durable operating system for engineering work that continues after you leave.

llms.txt: The Complete Implementation Guide for AI Search Visibility
How-To Guides

llms.txt: The Complete Implementation Guide for AI Search Visibility

llms.txt is the robots.txt of the AI era: a plain-text file that tells ChatGPT, Claude, and Perplexity what your site is about and where your best content lives. Under 5% of websites have one. Here is the complete guide to implementing it in under an hour.

RFP and Capability Statement Automation for GCCs and IT Services Firms
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RFP and Capability Statement Automation for GCCs and IT Services Firms

GCCs respond to more RFPs per year than almost any enterprise segment. Manual processes break under that volume. Here is what AI-native automation looks like.

How to Reduce RFP Response Time from Weeks to Hours with AI
How-To Guides

How to Reduce RFP Response Time from Weeks to Hours with AI

The average enterprise team spends 23 working days on a single RFP response. AI-native automation cuts that to under 6 hours with full auditability.

Claude Code: Essential Guide to Plan Mode, Token Usage, and Plugins
How-To Guides

Claude Code: Essential Guide to Plan Mode, Token Usage, and Plugins

Master the features that separate casual Claude Code users from power users: Plan Mode for safer edits, token usage tracking, context management, and extending Claude with plugins.