# Applied AI Published articles for Applied AI. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From AI demos to real work: How Engineering and Operations learn side by side DevFeed: [From AI demos to real work: How Engineering and Operations learn side by side]() Original publisher: [Read original article]() Author: Nubank Editorial Published: 2026-09-14T16:28:23Z Content type: article Language: en Sources: [Nubank]() Topics: [Artificial Intelligence](), [Generative AI](), [AI Development](), [Software Engineering](), [Development]() Tags: [agents](), [ai](), [ai-research](), [applied-ai](), [data-science-machine-learning](), [development](), [engineering](), [mcps]() ### AI overview This article describes Nubank's Ops AI Acceleration Program and an applied AI workshop with PJ Operations. The workshop combined foundational technical concepts about generative AI, agents, models, tools, context, skills, and MCPs with a real operational challenge to connect engineering knowledge with operational expertise. ### Source excerpt Building shared technical understanding so operational expertise can turn AI into practical improvements The post From AI demos to real work: How Engineering and Operations learn side by side appeared first on Building Nubank. ## How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules DevFeed: [How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules]() Original publisher: [Read original article]() Published: 2026-09-10T16:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Deep neural networks](), [datasets](), [Code]() Tags: [ai](), [ai-models](), [antibiotics](), [applied-ai](), [chatgpt](), [code](), [codex](), [datasets](), [deep-learning](), [search]() ### AI overview César de la Fuente's lab uses deep-learning models, ChatGPT, and Codex to search genome and protein datasets for antimicrobial candidates that could help fight drug-resistant infections. ### Source excerpt César de la Fuente's lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections. ## SymfonyCon Warsaw 2026: Building on Symfony AI DevFeed: [SymfonyCon Warsaw 2026: Building on Symfony AI]() Original publisher: [Read original article]() Author: Eloïse Charrier Published: 2026-09-10T07:30:00Z Content type: news Language: en Sources: [Symfony Blog]() Topics: [Artificial Intelligence]() Tags: [ai](), [announcement](), [applied-ai](), [community](), [conference](), [symfony]() ### AI overview SymfonyCon Warsaw 2026 is announced for November 26-27 in Warsaw, featuring talks, community events, a party, and a Hackday. Christopher Hertel will present "Building on Symfony AI," covering AI feature patterns, human-in-the-loop implementation, workflows, tracking, and extension points. ### Source excerpt Mark your calendars! The global Symfony community is heading to Warsaw (Poland) on November 26-27, 2026, for SymfonyCon Warsaw 2026. Join us for a great worldwide conference with 3 parallel tracks and community events. 🎤 Speaker announcement Joining... ## How GPT-5.6 Sol helps run quantum computing experiments DevFeed: [How GPT-5.6 Sol helps run quantum computing experiments]() Original publisher: [Read original article]() Published: 2026-09-08T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI research agents]() Tags: [agents](), [ai](), [ai-agents](), [analysis](), [applied-ai](), [codex](), [experiments](), [gpt](), [quantum](), [quantum-computing]() ### AI overview An MIT researcher connected GPT-5.6 Sol through Codex to laboratory software for superconducting-qubit experiments. The system ran routine measurements, analyzed results, and selected next steps, reducing the need for constant supervision during calibration workflows. ### Source excerpt See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits. ## You can't design the agent platform first DevFeed: [You can't design the agent platform first]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-27T14:51:36Z Content type: opinion Language: en Sources: [WorkOS Blog]() Topics: [Artificial Intelligence](), [Demo]() Tags: [agent](), [agents](), [applied-ai](), [governance](), [platform]() ### AI overview The article argues that internal AI teams typically progress from one hand-built agent to several agents and then encounter governance and operating challenges. It presents a shared substrate as the response to the third stage, citing Atlas and more than 80 team agents running on it. ### Source excerpt Internal AI teams walk three stages: one hand-built agent, then several, then a governance problem. Stage three needs a substrate -- you can't design it first. ## How WorkOS Lets Domain Owners Build Internal AI Tools DevFeed: [How WorkOS Lets Domain Owners Build Internal AI Tools]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-24T14:42:28Z Content type: opinion Language: en Sources: [WorkOS Blog]() Topics: [Artificial Intelligence](), [Low-Code / Internal Tools](), [Tooling]() Tags: [agents](), [ai](), [applied-ai](), [claude](), [internal-tools](), [tooling]() ### AI overview This commentary describes WorkOS's approach to internal AI tooling, in which domain owners build agents and tools for problems they understand firsthand while the platform team provides shared infrastructure and access controls. It highlights examples including Wallaby, Blog Bot, the CLI, and Horizon, and reports that 39 apps shipped to production during Claude Day. ### Source excerpt Internal AI tooling inverted the internal-tools org chart. Domain owners build their own agents, and the platform team now ships substrate and access controls. ## WorkOS Applied AI Showcase July 28 2026 - Moving to an AI-native Organization DevFeed: [WorkOS Applied AI Showcase July 28 2026 - Moving to an AI-native Organization]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-14T13:36:57Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Artificial Intelligence](), [Low-Code / Internal Tools](), [AI-assisted coding](), [Containers](), [MCP](), [Command-line interface](), [incident](), [Security](), [datadog](), [Pull Request](), [Slack](), [GitHub]() Tags: [agent](), [agents](), [ai](), [applied-ai](), [cli](), [coding](), [coding-agents](), [containers](), [datadog](), [demo](), [event](), [github](), [incident](), [internal-tools](), [mcp](), [organization](), [pull-request](), [slack](), [talks](), [team]() ### AI overview WorkOS's Applied AI Showcase in New York presented five internal tools--Horizon, Blog Bot, the CLI, Wallaby, and Atlas--through live demos and talks. The article explains how the Applied AI team helps non-engineering functions build AI-powered workflows and systems. ### Source excerpt WorkOS is becoming an AI-native organization. The Applied AI Showcase in NYC on July 28th 2026 showed exactly how with live demos and talks from the Applied AI team. ## The builder's guide to GPT-5.6 DevFeed: [The builder's guide to GPT-5.6]() Original publisher: [Read original article]() Published: 2026-08-13T11:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [Model Routing](), [API](), [Orchestration](), [Benchmark]() Tags: [agentic](), [agents](), [ai](), [ai-agents](), [api](), [applied-ai](), [benchmark](), [build-faster](), [compute](), [cost](), [efficiency](), [frontier-model](), [gpt](), [latency](), [model](), [performance](), [responses](), [search](), [tokens](), [workflows]() ### AI overview A technical guide to using GPT-5.6 in production AI agents. It covers smarter model selection, cost-efficient reasoning, Responses API controls, multi-agent orchestration, programmatic tool calling, and the use of smaller models for high-volume or latency-sensitive workflows. ### Source excerpt Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities. ## How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery DevFeed: [How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery]() Original publisher: [Read original article]() Published: 2026-06-23T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat]() Tags: [ai](), [applied-ai](), [gpt](), [research](), [science]() ### AI overview GPT-5 Pro helped an immunology lab revisit a long-standing question about how glucose affects T-cell development and specialization. ### Source excerpt GPT-5 Pro helped solve a 3-year-old immunology mystery, offering insights into T cell behavior. The breakthrough could support cancer and autoimmune research. ## Using AI to help physicians diagnose rare genetic diseases affecting children DevFeed: [Using AI to help physicians diagnose rare genetic diseases affecting children]() Original publisher: [Read original article]() Published: 2026-06-18T08:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [data]() Tags: [ai](), [analysis](), [applied-ai](), [data](), [model](), [openai](), [reasoning](), [research]() ### AI overview Researchers used OpenAI's o3 Deep Research reasoning model to reanalyze 376 previously unsolved rare-disease cases. After expert review, additional testing, and clinical confirmation, physicians established 18 diagnoses. ### Source excerpt Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases. ## MIT in the media: For the future of tech, "Massachusetts can absolutely lead" DevFeed: [MIT in the media: For the future of tech, "Massachusetts can absolutely lead"]() Original publisher: [Read original article]() Published: 2026-06-18T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [AI Strategy](), [Robotics]() Tags: [ai](), [alumni-ae](), [applied-ai](), [articles](), [artificial-intelligence](), [biotechnology](), [cambridge-boston-and-region](), [computer-science-and-technology](), [courses](), [energy](), [faculty](), [funding](), [health](), [manufacturing](), [president-sally-kornbluth](), [quantum-computing](), [quantum-technologies](), [research](), [robotics](), [startup](), [startups](), [students](), [tech](), [technology-and-society]() ### AI overview MIT's research, AI initiatives, online courses, and entrepreneurship programs are highlighted in coverage of Massachusetts' technology ecosystem and its potential for continued leadership. ### Source excerpt Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players' ## New OpenAI Academy courses for the next era of work DevFeed: [New OpenAI Academy courses for the next era of work]() Original publisher: [Read original article]() Published: 2026-06-12T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [OpenAI Academy](), [Artificial Intelligence](), [Prompt Engineering]() Tags: [agents](), [ai](), [ai-adoption](), [applied-ai](), [learning](), [openai](), [openai-academy](), [work](), [workflows]() ### AI overview OpenAI introduces three OpenAI Academy courses--AI Foundations, Applied AI Foundations, and Agents and Workflows--to help organizations build practical AI skills, create repeatable workflows, and apply agent-assisted work in everyday tasks. ### Source excerpt OpenAI introduces three Academy courses that help people build practical AI skills, create repeatable workflows, and apply agents in everyday work. ## How an astrophysicist uses Codex to help simulate black holes DevFeed: [How an astrophysicist uses Codex to help simulate black holes]() Original publisher: [Read original article]() Published: 2026-06-11T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [codex](), [Algorithms](), [data-processing](), [Programming](), [Simulation and Design]() Tags: [algorithms](), [applied-ai](), [codex](), [data](), [data-processing](), [event](), [images](), [model](), [relativity](), [scale](), [space](), [time](), [tools](), [workflows]() ### AI overview Astrophysicist Chi-kwan Chan uses Codex to refine and test algorithms for simulating electrons and ions around black holes. The article explains how these simulations, data processing, and large-scale computing workflows help interpret Event Horizon Telescope observations and study extreme physics and general relativity. ### Source excerpt Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein's theory of general relativity. ## Introducing OpenAI for Singapore DevFeed: [Introducing OpenAI for Singapore]() Original publisher: [Read original article]() Published: 2026-05-19T20:30:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Artificial Intelligence](), [AI Strategy](), [Frontier AI](), [Deployment]() Tags: [ai-strategy](), [applied-ai](), [finance](), [frontier-ai](), [global-affairs](), [healthcare](), [infrastructure](), [net](), [openai](), [partnership]() ### AI overview OpenAI is launching OpenAI for Singapore, a partnership with Singapore's Ministry of Digital Development and Information backed by more than S$300 million. The initiative will support frontier AI deployment, develop local talent, and expand access to AI across organisations, businesses, and public services. ### Source excerpt OpenAI for Singapore launches a multi-year AI partnership to expand deployment, build local talent, and support businesses and public services with AI. ## OpenAI launches DeployCo to help businesses build around intelligence DevFeed: [OpenAI launches DeployCo to help businesses build around intelligence]() Original publisher: [Read original article]() Published: 2026-05-11T06:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [AI Platforms/Deployment](), [enterprise deployment](), [Frontier AI](), [Artificial Intelligence]() Tags: [acquisition](), [ai-adoption](), [applied-ai](), [company](), [deployment](), [enterprise-deployment](), [frontier-ai](), [industry](), [openai](), [partners]() ### AI overview OpenAI announces the OpenAI Deployment Company, a new organization intended to help businesses build and deploy reliable AI systems. It will embed Forward Deployed Engineers with organizations, redesign workflows and infrastructure, and support AI adoption. The company will launch following OpenAI's planned acquisition of Tomoro, bringing approximately 150 deployment specialists, and will begin with more than $4 billion in investment. ### Source excerpt OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact. ## How FLORA shipped a creative agent on Vercel's AI stack DevFeed: [How FLORA shipped a creative agent on Vercel's AI stack]() Original publisher: [Read original article]() Author: Eric Dodds Published: 2026-03-31T04:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [Vercel](), [Canvas](), [migration]() Tags: [agents](), [ai](), [applied-ai](), [concurrent](), [generation](), [image](), [infrastructure](), [migration](), [vercel]() ### AI overview FLORA built FAUNA, a creative AI agent that helps designers explore campaign visuals, moodboards, and lookbook directions. FAUNA selects references and models, generates variations, and supports long-running, highly parallel visual workflows. FLORA explored Vercel to reduce infrastructure configuration and ship the agent faster. ### Source excerpt FLORA on Vercel 2x faster to production with their generation system Zero infrastructure debates after migration 50+ image models orchestrated A seasonal fashion launch is a story, not a single frame. Crafting that story is a process of exploration: It's the same piece, worn by different models. The same pose, with different lighting and angles. The same set, with a background that shifts from glossy to gritty. FLORA was built to make that kind of visual iteration available to anyone through a digital canvas. Their new creative agent FAUNA acts like a design partner, turning ideas into a map of creative directions. From FLORA to FAUNA: a creative agent Flora started as a node-based creative workflow canvas. For advanced users, that canvas is powerful: you can create steps and branches, adding detailed prompts at each stage to hone every detail of the images. But the canvas also came with a tradeoff: it asked every creative to think like a workflow designer. You had to configure each state of an exploration with prompts and model choices, interrupting the creative process. That's why they built FAUNA. The agent removes the setup burden, but keeps the full power of AI. Instead of starting with a blank canvas and a pile of example images, designers can start with their ideas. Users tell FAUNA what they want to create, like a campaign visuals, moodboards, or a lookbook direction, and the agent will pull references, choose models, and automatically generate variations to explore and refine. Under the hood, FAUNA is a long-running, highly parallel agent. Alec Jo, Head of Applied AI at FLORA, leads the effort. As Alec and his team were building it, they faced the same pain as their early canvas users, spending too much time configuring AI tech instead of iterating on the agent itself. That's when they started exploring Vercel. Infrastructure makes the agent If you use AI mainly for text-based tasks, it's easy to underestimate the additional demands of visual workflows for ## Accelerating discovery with the AI for Math Initiative DevFeed: [Accelerating discovery with the AI for Math Initiative]() Original publisher: [Read original article]() Author: Pushmeet Kohli Published: 2025-10-29T14:31:13Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [math](), [Google](), [Algorithm]() Tags: [ai](), [applied-ai](), [gemini](), [google](), [none](), [reasoning](), [research](), [science]() ### AI overview Google DeepMind introduces the AI for Math Initiative, bringing together five research institutions to use AI in mathematical research. The initiative aims to identify promising mathematical problems, build supporting infrastructure and tools, and accelerate discovery through systems including Gemini Deep Think, AlphaEvolve, and AlphaProof. ### Source excerpt The initiative brings together some of the world's most prestigious research institutions to pioneer the use of AI in mathematical research.