“OpenAI Codex agents were used to build the project—including model implementations, performance tuning, tests, integrations, and documentation—with humans directing and reviewing the work.”

#3 𝕏 NVIDIA AI released the open-source TensorRT Model Connect in public preview, enabling a supported Hugging Face model to reach end-to-end TensorRT inference in two commands without an intermediate ONNX export. The resulting bundle can run through native C++ APIs. OpenAI Codex agents were used to build the project—including model implementations, performance tuning, tests, integrations, and documentation—with humans directing and reviewing the work.

“How I run autonomous coding agents from my phone with OpenAI Symphony + Linear How I AI Podcast Alessio Fanelli runs OpenAI Symphony on a 32 GB/4-core cloud VPS integrated with Linear as an agent state machine to autonomously manage coding tasks with per-task token tracking (peaking at 221 million tokens) and leverages OpenAI Codex with in-app browser access to scrape PSA certificate numbers and hunt underpriced $10 K–$20 K Pokémon cards on eBay for his Merlin Games shop.”

GenAI PM Daily July 07, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 20 insights for PM Builders, ranked by relevance from Blogs, X, YouTube, and LinkedIn. #6 ▶️ How I run autonomous coding agents from my phone with OpenAI Symphony + Linear How I AI Podcast Alessio Fanelli runs OpenAI Symphony on a 32 GB/4-core cloud VPS integrated with Linear as an agent state machine to autonomously manage coding tasks with per-task token tracking (peaking at 221 million tokens) and leverages OpenAI Codex with in-app browser access to scrape PSA certificate numbers and hunt underpriced $10 K–$20 K Pokémon cards on eBay for his Merlin Games shop. VPS “Zoo” (32 GB RAM, 4 cores) hosts Symphony tied to Linear projects where Linear issues auto-spawn Codex workpads containing implementation plans, acceptance criteria, rework checklists and GitHub PR previews for human review. Symphony’s built-in ledger records token consumption per task in Linear fields, showing tasks from ~15 million tokens up to a 221 million-token rewrite to make the app deployable on Vercel.

“Rohan Varma uses the OpenAI Codex app (agent control plane) to pull context from Slack, Notion, Linear and Google Drive; automate Slack reply triggers; prototype UI variants via the built-in ImageGen skill; and convert Notion documents into live Sites.”

#3 ▶️ OpenAI PM Reveals How He Uses Codex to Do Product Work | Rohan Varma Peter Yang Rohan Varma uses the OpenAI Codex app (agent control plane) to pull context from Slack, Notion, Linear and Google Drive; automate Slack reply triggers; prototype UI variants via the built-in ImageGen skill; and convert Notion documents into live Sites. Codex integrates with Slack, Notion, Linear, email and Google Drive to synthesize thousands of daily feedback messages, enabling onboarding to a new project with full context in 20 minutes. Invoking the "imagegen" skill with a single screenshot in Codex produced four distinct UI mockups for a project-selection interface in under a minute and then generated a live prototype via the Sites feature. Codex was instructed to schedule a daily automation that parses a Slack channel for feedback, creates or updates Linear issues, and posts a summary in Slack to Rohan Varma, deleting the automation after each run.

“Ankur Goyal uses OpenAI Codex and GPT-5.4 mini agents to automate week-long exhaustive benchmarking of database column store formats and execution engines, optimizing query performance in Braintrust.”

#3 ▶️ How this startup uses AI agents to eliminate bugs and optimize infrastructure How I AI Podcast Ankur Goyal uses OpenAI Codex and GPT-5.4 mini agents to automate week-long exhaustive benchmarking of database column store formats and execution engines, optimizing query performance in Braintrust. Ran continuous experiments for over a week using coding agents across every open-source column store format and execution engine on Braintrust’s Tantivy index, identifying Bloom filters as an effective indexing solution. Operated 4–6 foreground agents in tmux sessions (named Braintrust 1–4) alongside remote EC2 instances to simulate production-like workloads, measuring EC2-to-S3 latency under 4,000 concurrent reads. Automated evaluation of Braintrust documentation Q&A by uploading a CSV of user questions into the Braintrust MCP server, then used GPT-5.4 mini and Claude to generate and apply scoring functions that rate outputs on concise code snippets, single-language responses, and avoidance of em-dashes.

“Peter Yang shares a 9-step guide to pinning the OpenAI Codex web app to your iPhone Home Screen and urges @OpenAI to offer a simpler shortcut in future.”

This is a practical how-to item about getting quick access to the Codex web app on mobile, positioned as a usability suggestion for OpenAI.

“A five-source data pipeline using Kalshi RedSocket/API, Surf Agent browser automation (Google News, x.com, Reddit, Chrome), Polymarket whales API and OpenAI Codex compiles market and sentiment data into a master unstructured.txt to calculate trades on Polymarket.”

#3 ▶️ Improve Your Agentic AI Trading With a Great Data Pipeline All About AI A five-source data pipeline using Kalshi RedSocket/API, Surf Agent browser automation (Google News, x.com, Reddit, Chrome), Polymarket whales API and OpenAI Codex compiles market and sentiment data into a master unstructured.txt to calculate trades on Polymarket. The pipeline ingests data from Kalshi RedSocket or API, Surf Agent browser automation for Google News, x.com (Twitter), Reddit and Chrome search, plus a Polymarket whale collector API, appending all outputs into master unstructured.txt.

“Greg Isenberg Demonstrates end-to-end construction of a Startup Ideas OS board in Codex Sites using six prompts—adding Cloudflare D1 storage, defining safe action mutations, creating a “Startup Ideas Admin” Codex skill, setting a save-gate checkpoint, and proving the loop to deploy a live, auto-updating board.”

#9 ▶️ OpenAI Codex: Build Apps That Work For You 24/7 Greg Isenberg Demonstrates end-to-end construction of a Startup Ideas OS board in Codex Sites using six prompts—adding Cloudflare D1 storage, defining safe action mutations, creating a “Startup Ideas Admin” Codex skill, setting a save-gate checkpoint, and proving the loop to deploy a live, auto-updating board. Invoked the Codex Sites plugin and used six prompts: build the shell, add persistent storage, create safe actions, generate the “Startup Ideas Admin” skill, save as V1 review, and prove the loop in a new chat.

“Built on an open specification, these verified skills run reliably across Claude, OpenAI Codex, and Cursor.ai.”

#7 𝕏 NVIDIA AI shipped NVIDIA-Verified Agent Skills, offering transparent skill cards that detail each skill’s function, origin, risks, and integrity. Built on an open specification, these verified skills run reliably across Claude, OpenAI Codex, and Cursor.ai.

“OpenAI Codex unveils /goal stateful loop command #1 𝕏 Jason Zhou unveils Codex’s new /goal command, introducing a stateful Ralph-loop that iteratively sets goals, tests, self-corrects, and repeats until the mission is complete or the budget runs out.”

GenAI PM Daily May 04, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 12 insights for PM Builders, ranked by relevance from X, YouTube, and LinkedIn. OpenAI Codex unveils /goal stateful loop command #1 𝕏 Jason Zhou unveils Codex’s new /goal command, introducing a stateful Ralph-loop that iteratively sets goals, tests, self-corrects, and repeats until the mission is complete or the budget runs out. #2 ▶️ Everything You Need to Know About Context Engineering in 40 Minutes | Ravi Mehta Peter Yang Use 3-layer context engineering (functional spec, Figma wireframe, JSON data enriched via Claude and a custom Cloud Code MCP server) to generate a high-fidelity music genre detail page prototype in Reforge Build that can be instantly re-themed by swapping the data.json file.

“#20 𝕏 Peter Yang says OpenAI’s fastest-growing Codex uses only 8-week sprints or directional long-term planning—no 6–12 month roadmaps.”

#20 𝕏 Peter Yang says OpenAI’s fastest-growing Codex uses only 8-week sprints or directional long-term planning—no 6–12 month roadmaps. After momentum in its IDE extension and CLI, the team launched a minimalist app to manage multiple AI agents based on power-user workflows.