The Complete OpenAI Codex Masterclass 2026

Generate on-brand flyers with Codex by defining a warm brand voice, color palette, and hero image, then assemble a print-ready HTML flyer.

Learn to generate branded flyers with Codex by building prompts, using prompt engineering and meta prompting, and output a markdown flyer copy and an HTML flyer.

practice opportunity demonstrates generating branded assets with codex for Hound and Home, a Nashville dog grooming studio, including a hero image and grand opening flyer prompts.

Explore generating branded assets with Codex by building a grand opening flyer for a dog grooming business, including a hero image and markdown and html outputs.

Design and optimize prompts to guide generative AI, using context, instructions, input, and output formats, while mastering prompts through system prompts, avoiding hallucination, and iterative refinement.

Learn meta-prompting to boost productivity by teaching AI to write better prompts, demonstrated with a data-driven SWOT analysis for Tesla Model Y and a structured prompt generating process.

Master agent skills in Codex by attaching skill.md files to enable specialized tasks like PowerPoint slides, PDFs, or front-end design, with dynamic loading and reusable skill templates.

Learn to build PowerPoint slide decks with Codex, first from raw data, then by installing the PPT visual skill via skill.md to create one-insight-per-slide layouts with color harmony and visuals.

Install the ppt visual skill in Codex with the skill installer. Provide a GitHub link to the skill.md and enable the new skill to design PowerPoint slide decks.

Equip your agent with the PowerPoint visual skill to design a PowerPoint deck from quarterly sales data across three regions, ensure quality assurance, and log errors for future accuracy.

Learn to connect codex plugins to Google Sheets, Canva, Gmail, and calendar to automate marketing assets, brand kits, and a three-class Lumen Pilates launch led by Maya, Sophia, and Naomi.

Understand how the Model Context Protocol, an open standard by Anthropic, standardizes AI model interactions with external tools and data sources via connectors to Gmail, Slack, Google Drive, and calendar.

Learn how codex plugins bundle skills, connectors, and reusable workflows to empower an agent with multiple abilities and app integrations (Gmail, Google Drive, Slack, Sheets, Canva), enabling real-world tasks.

Structure agents.md as a concise briefing note at the project root for Codex to read at startup, preserving context and guiding future sessions.

Connect Codex to Google Drive, Canva, and Gmail, ingest a brand bible and datasets, and enable reading and writing with Google Drive and Google Sheets to automate assets and prompts.

Learn to configure Codex for a six-week launch, read brand guidelines, generate agents.md, extract launch data from a Google Sheet, and produce on-brand hero images for three classes.

Learn to generate branded Canva marketing assets from a structured prompt, producing a four-slide per class carousel in the Lumen brand kit with hero, class overview, audience, and CTA.

Connect Codex to Google Calendar to auto-create class invites and schedule a six-week campaign with three launches and nine events, including reminders before, on, and after launch.

Learn to connect Codex to Gmail and draft a launch email in Sophia's voice, with a plain text body, slow wake image attachment, and a Canva carousel link for testing.

Apply Codex to Canva, Google Drive, and Gmail to plan Tidewater’s three spring features—focus blocks, asynchronous standup, and deep calendar—and produce brand-aligned Canva assets and a test launch email.

Explore the context window, the total text an llm can process in a session, measured in tokens, including messages, Codex replies, system prompts, tools, memory, and conversation history.

Create a reusable Codex skill to enforce Elena's Casa Verde brand voice across emails, cover pages, social posts, and landing pages, using brand colors and fonts.

Learn to create a custom codex skill from a brand bible using assets and prompts, and build an agents.md playbook for consistent outputs.

Explore how agents.md and skill.md define a Codex playbook to build a Casa Verde skill from the brand bible, guiding prompts, outputs, change log, and a landing page.

Create social media assets using the casa verde custom skill, writing Instagram captions from image-grounded prompts and monitoring drift via a self-reflection loop and skill refinement.

Create a new brand skill in Codex for Goji Republic, capturing its voice in a skill.md, then design a landing page and promotional flyer using the brand bible.

Turn Goji Republic brand bible into a reusable Codex skill, using meta-prompting to generate prompts, assets, and on-brand invites, captions, and landing pages in a practice opportunity.

Automate competitive analysis with Codex, browser, and Playwright to map the sustainable design landscape in Austin. Generate an internal positioning deck, client white paper, and shareable infographic for Casa Verde.

Set up Codex workspace and Playwright skills to run a competitive analysis schema that benchmarks rival studios on positioning, materials, pricing, sustainability, geography, and social content.

Develop the research framework for competitive intelligence using codex, creating an agents.md contract and a research framework.md, and defining competitor discovery criteria for Casa Verde's Austin sustainable interior design landscape.

conduct research and competitor analysis using Playwright to discover five Austin firms, browse sites and social media, capture evidence, and assemble a richly sourced brief with a positioning map.

Generate assets, sprites, and a game design doc for bean run using codex, enabling a landing page with brand style and a 20–45 second browser game.

Build a browser game with the game studio plugin in Codex, using parallax layers (far, mid, near) to create depth with sprites and a design doc, for desktop and mobile.

Embed the browser game into a cafe landing page, run quality assurance, implement a top 10 leaderboard with email signup and local storage, and log bug fixes and root causes.

Train an ARIMA model to forecast pet store sales using Codex, with a 70/30 training/testing split, hyperparameter tuning of P, D, and Q, and forecast vs. actual visualization.

Tackle hyperparameter tuning for ARIMA model with grid search in Codex, testing P, D, Q to reduce mean absolute percentage error and root mean squared error, backtest and forward forecast.

Train an s-arima model on the pet store sales data, compare it with ARIMA, expand hyperparameter tuning, and evaluate with metrics like mean absolute percentage error.

Predict demand with codecs on a real-world retail dataset across three stores and five categories, using history and exogenous features to forecast eight weeks of units sold and revenue.

Set up a forecasting project by creating an advanced forecasting folder with included datasets, configuring a virtual environment, and installing pandas, numpy, matplotlib, pmd arima, and profit.

Perform exploratory data analysis on weekly sales data using Codex, read the dataset with a data dictionary, and generate visualizations including per-category line charts and discount-sensitivity plots for forecasting readiness.

Explore plugins as bundles of skills and connectors that enable multi-agent workflows via a model context protocol, and dive into the data plugin’s SQL, data exploration, visualizations, and dashboards.

Create branded dashboards and data visualizations with Codex using cleaned data to generate five charts and a self-contained lumen-dashboard.html showing revenue by class, attendance trends, and instructor leaderboard.

Import a new skill into Codex by creating a LinkedIn post coach and generating a polished post with hooks and hashtags grounded in the state of AI in 2025.

Learn to import new skills into Codex by creating a local 'LinkedIn post coach' skill, then draft grounded LinkedIn posts with hooks, ctas, and hashtags from a PDF report.

Explore building memory-enabled ai agents with codecs and the OpenAI developers plugin, powered by gpt 5.5, to track expenses and budgets in a personal finance agent, with no coding required.

Discover how AI agents evolve from manual tools to autonomous cloud code that builds other agents in minutes, enabled by OpenAI agents SDK and agentic frameworks for end-to-end automation.

Learn how AI agents plan, execute tasks, and use memory and tools to achieve goals with minimal human input, including guardrails and handoffs across a team of agents.

Learn how an ai agent uses an llm as a reasoning engine, with planning, tools, and memory, to autonomously act and adapt through feedback.

Discover how the OpenAI Agents SDK enables building agentic AI applications with few primitives and an LLM-agnostic framework. Define agents, tools, handoffs, guardrails, and tracing to automate workflows.

Define and run an AI agent using the OpenAI Agents SDK, setting its name, persona, tools, handoffs, and guardrails, then execute with await runner.run.

Explore building a personal finance AI agent with memory using the OpenAI Agents SDK and sqlite-based session storage to recall expenses, categorize spending, and offer personalized budgeting advice.

Use the OpenAI developers plugin and the OpenAI agents SDK to build an AI agent without code, then equip it with memory via a sqlite session and test previous interactions.

Automate building a finance advisor notebook with the OpenAI developers plugin and Codex, using GPT-5 mini and VS Code vn kernel, with no memory.

Equip the agent with memory by enabling a sqlite session in a memory-enabled finance advisor notebook, then test memory across queries to remember expenses and offer tailored budget-cutting advice.