According to @OpenAI on X, new Codex capabilities are rolling out today to ChatGPT Pro users in the Codex app, CLI, and IDE extension, enabling integrated code generation and automation within developer workflows (source: OpenAI post on X, Feb 12, 2026). As reported by OpenAI’s announcement, the distribution across command line and IDE surfaces suggests faster prototyping and reduced context‑switching for teams adopting AI pair‑programming, with immediate productivity gains in code completion, refactoring, and test generation. According to OpenAI’s post, ChatGPT Pro subscribers gain first access, indicating a monetization path where enterprises can pilot AI coding assistants organization‑wide via managed IDE rollout and CLI scripting. As reported by OpenAI, the multi‑surface release positions Codex as a full‑stack developer copilot, creating opportunities for SaaS vendors and DevOps platforms to embed AI-assisted code actions, CI hooks, and secure review flows through IDE and terminal plugins.

According to God of Prompt on X, Anthropic has made Claude’s skills, connectors, and file creation available to free users, with no ads, raising competitive pressure on ChatGPT’s free tier. According to Claude’s official X account, these previously paywalled features now enable workflow automation (skills), enterprise data access via integrations (connectors), and in-app artifact and file creation without a subscription. As reported by the posts, this shift lowers onboarding friction for teams testing LLM-assisted automation, improves bring-your-own-data use cases, and could accelerate adoption in SMBs seeking cost-effective AI copilots.

According to @godofprompt on X, a new site offers a large prompt library with thousands of prompts for Claude, ChatGPT, and Nano Banana. As reported by the original post on X, consolidated prompt marketplaces can accelerate prompt engineering workflows, reduce onboarding time for LLM deployments, and improve response consistency across Anthropic Claude, OpenAI ChatGPT, and Nano Banana models. According to the X post, the volume of ready-to-use prompts signals growing demand for verticalized prompt packs in sales outreach, customer support macros, marketing copy, and RAG task templates, creating opportunities for B2B subscriptions, team libraries, and affiliate bundles. As noted in the same source, multi-model coverage enables cross-model A/B testing and cost-performance optimization, opening business value in prompt versioning, quality scoring, and analytics add-ons.

According to OpenAI on X (Twitter), ChatGPT’s Deep Research is now powered by GPT-5.2 and begins rolling out today with additional improvements. As reported by OpenAI’s official post, the upgrade targets long-context retrieval and multi-source synthesis, positioning GPT-5.2 to handle complex research workflows with higher factual accuracy and better citation handling. According to OpenAI, the rollout implies enhanced performance for enterprise knowledge discovery, competitive analysis, and market intelligence use cases where grounded answers and traceability matter. As reported by OpenAI, organizations can expect faster multi-document analysis, improved source attribution, and more stable outputs for long-form research summaries—key for regulated industries and RFP responses. According to OpenAI, this release expands monetization opportunities for research assistants, analyst copilots, and vertical SaaS plugins that rely on retrieval augmented generation and long-context reasoning.

According to @OpenAI on Twitter, Deep Research now lets users connect to apps in ChatGPT, perform site-specific searches, track real-time research progress with the ability to interrupt and add follow-ups or new sources, and view fullscreen reports. As reported by OpenAI’s official announcement, these capabilities streamline end-to-end research workflows inside ChatGPT, enabling enterprise teams to validate sources faster, centralize citations, and export report-style outputs for stakeholders. According to OpenAI’s post, the real-time progress tracking and mid-run intervention reduce iteration cycles for tasks like competitive analysis, literature reviews, and due diligence, while app connections and targeted site search improve data coverage and retrieval precision for business research.

According to OpenAI on X (Twitter), Asad Awan joined host Andrew Mayne to discuss how OpenAI developed its ad principles and why introducing advertisements in ChatGPT Free and Go tiers is intended to expand AI access by subsidizing usage at scale. As reported by OpenAI, the podcast outlines guardrails for ad relevance, safety, and transparency, positioning ads as a sustainable monetization channel that preserves user experience while funding broader availability of GPT models. According to the OpenAI post, the conversation highlights business implications for advertisers seeking privacy-safe, contextual placements within conversational AI and offers guidance on balancing revenue with user trust in generative AI interfaces.

According to OpenAI on X (Twitter), the company has begun testing sponsored ads in ChatGPT for a subset of free and Go users in the U.S., stating that ads are labeled as sponsored, visually separated from answers, and do not influence model outputs. As reported by OpenAI’s post, the stated goal is to support free access to ChatGPT while maintaining response integrity, signaling a new monetization stream alongside ChatGPT Plus and enterprise offerings. According to OpenAI, the test indicates an advertising inventory inside conversational AI that could drive performance marketing and contextual placements around user intents, creating opportunities for brands to target high-intent prompts without affecting core answers. As reported by OpenAI’s announcement, this rollout may accelerate a broader ecosystem of AI-native ad formats, analytics, and safety controls for sponsored content in generative interfaces.

According to OpenAI on Twitter, more than 300 million people use ChatGPT every week to learn how to accomplish specific tasks. The company further reports that over half of US ChatGPT users say the tool empowers them to achieve previously impossible goals. These usage figures illustrate ChatGPT’s growing influence in education and productivity, highlighting a significant trend in generative AI adoption for personal and professional advancement. As reported by OpenAI, these stories underscore tangible business opportunities for AI-powered learning platforms and productivity tools.

According to God of Prompt on Twitter, replacing traditional instruction prompts with question-based prompts—known as Socratic prompting—significantly improves output quality for large language models like Claude and ChatGPT. As reported by God of Prompt, shifting to this approach increased output ratings from 6.2 to 9.1 out of 10. This AI prompting technique offers practical business opportunities for companies seeking to maximize the value of generative AI models by refining prompt engineering strategies.

According to God of Prompt on Twitter, replacing instruction-based prompts with question-based prompts, a method known as Socratic prompting, significantly improved the output quality of large language models like ChatGPT and Claude3 from 6.2 to 9.1 out of 10. This approach encourages more thoughtful and accurate responses, as reported by God of Prompt. The trend highlights new business opportunities for enterprises and developers looking to optimize AI workflows and customer experiences with more effective prompt engineering strategies.

According to God of Prompt on Twitter, users are increasingly expressing preference for Claude Opus 4.6 over widely used AI models like ChatGPT, Perplexity, and DeepSeek. This trend highlights the growing competitiveness among advanced AI models in delivering superior performance and unique features for productivity and creative applications. As reported by God of Prompt, the shift towards Claude Opus 4.6 suggests new opportunities for businesses and developers seeking alternative AI solutions in a rapidly evolving market.

According to @godofprompt on Twitter, Spine AI has introduced a groundbreaking platform that leverages swarm intelligence by orchestrating over 300 specialized AI models within a single visual workspace. Unlike traditional single-model prompting in tools like ChatGPT or Claude, Spine AI enables users to assign complex tasks to a team of AI agents that collaborate, cross-check, and execute tasks visually. This approach is designed for strategists, analysts, researchers, and operations managers seeking efficient solutions to multi-step workflows. As reported by @godofprompt, the system promises to revolutionize the way professionals interact with AI by moving beyond individual model limitations and automating sophisticated business operations.

According to @godofprompt on Twitter, the Chain-of-Verification framework is used by ChatGPT for internal fact-checking, ensuring answers are supported by sources, checked for contradictions, and assigned a confidence level before presenting a revised response. This process emphasizes not trusting the first output and adds a systematic verification step after any factual request, which can enhance the reliability of AI-generated content and improve trust in AI business applications, as reported by @godofprompt.

According to God of Prompt, OpenAI achieves high consistency in ChatGPT responses by structuring internal prompts with a three-part framework: Role, Context, and Constraint. This method assigns a specific expert role, a defined scenario, and an exact response format, resulting in outputs that are more reliable and tailored compared to generic prompts. As reported by God of Prompt, this structured approach offers clear business advantages for companies developing AI products, especially in sectors requiring predictable and high-quality generative outputs. It enables organizations to optimize prompt engineering for applications like customer support, content creation, and workflow automation, supporting scalable AI deployment.

According to The Rundown AI, OpenAI and Anthropic are pursuing distinctly different monetization strategies for their AI assistants. OpenAI announced last month that ads will be introduced to ChatGPT for free users, aiming to generate revenue from its large user base. In contrast, Anthropic has committed to keeping its Claude assistant ad-free, even running a notable Super Bowl ad that mocks AI assistants displaying advertisements. As reported by The Rundown AI, Anthropic emphasizes user trust and transparency, stating that users should not have to question whether their AI assistant is genuinely helping them or subtly promoting monetizable content. This divergence reflects broader trends in the AI industry regarding user trust, monetization models, and long-term business opportunities.

According to God of Prompt on Twitter, users can maximize the capabilities of ChatGPT by utilizing a specialized system prompt shared on the God of Prompt platform. This system prompt is designed to optimize ChatGPT's performance and provide enhanced functionality for advanced users. As reported by God of Prompt, accessing this prompt through their website offers new opportunities for businesses and developers to leverage ChatGPT for more tailored AI solutions.

According to God of Prompt on Twitter, ChatGPT now follows precisely specified output structures—such as step-by-step frameworks and section limits—in 94 percent of interactions. This trend highlights the model's improved adherence to detailed prompt instructions, which is crucial for business users seeking consistent, reliable AI-generated content. The ability to enforce structured outputs can streamline workflow automation, improve report generation accuracy, and enhance productivity for teams leveraging generative AI in enterprise applications.

According to God of Prompt, using specific negative instructions when prompting ChatGPT, such as telling it what words or phrases not to use, significantly increases output quality by 2.1 times compared to vague positive instructions. This approach is recommended for AI practitioners aiming to optimize prompt engineering strategies and improve conversational AI performance, as reported by God of Prompt on Twitter.

According to God of Prompt on Twitter, after testing over 200 custom instruction sets for ChatGPT, five specific instruction patterns were identified that increased output quality by 3.4 times. The analysis highlights that while most users do not optimize the custom instructions feature effectively, these proven patterns can significantly enhance ChatGPT's performance and practical value for business and productivity applications. As reported by God of Prompt, leveraging these optimized instruction sets represents a major opportunity for organizations seeking to maximize the effectiveness of AI-powered workflows.

According to OpenAI, the Codex app is now available for macOS users, with a Windows version set to launch soon. For a limited period, Codex can be accessed through ChatGPT Free and Go subscriptions, offering broader availability for developers and businesses. Additionally, OpenAI is doubling the rate limits for Plus, Pro, Business, Enterprise, and Edu users across the Codex app, CLI, and IDE platforms, enhancing efficiency for high-demand workloads. This expansion is expected to drive increased adoption of Codex-powered workflows and AI code generation tools, particularly for organizations seeking scalable AI coding solutions, as reported by OpenAI via Twitter.