The 68% figure
The number comes from Stampli's own accounting of its production process. A 68% cut means the new workflow takes roughly a third of the time it used to. The company didn't disclose the original hour count, so the exact scale of the savings isn't public. But the percentage alone points to a major shift in how the team operates.
Stampli said the tools were used during the production phase of a launch. That's the part where code gets written, content gets created, and everything gets assembled before release. The company didn't break down which tasks were handed to the AI, but the overall time savings suggest a substantial portion of the work was automated.
Codex and ChatGPT Work
Both tools come from OpenAI. Codex is designed to help with coding tasks, while ChatGPT Work is a version of the company's chatbot aimed at workplace use. Stampli didn't explain how the two were combined, but the result is a faster path from idea to launch.
The company's experience adds to a growing list of businesses using AI to compress timelines. It's not just about writing code faster; it's about reducing the manual effort that goes into coordinating a launch. For Stampli, that meant a 68% drop in production hours.
Stampli hasn't said whether it will apply the same tools to other projects or expand their use beyond product launches. The company also hasn't identified which launch benefited from the time savings. Those details could come with the next product announcement, or they might not.
For now, the 68% figure stands as a concrete example of AI's impact on a specific business process. How far that impact goes will depend on whether Stampli can repeat the result elsewhere.
That's about 300 words. We need 500-800. Let's expand. We can add a section about the broader context of AI in business, but we can't attribute to experts. We can say "The move comes as more companies experiment with AI to cut costs and speed up work." That's a general statement. We can also talk about the potential risks or limitations, but we don't have facts. We can say "The company didn't mention any challenges with the tools." That's a factual statement. We can also mention that the 68% reduction is a specific metric that other companies might look at. But we can't say "analysts say". Let's add more detail. We can write: "Stampli's use of Codex and ChatGPT Work is part of a broader push by OpenAI to get its tools into everyday business workflows. The company has been marketing these products as ways to automate routine tasks, and Stampli's result is one of the first public numbers to show a concrete time saving." But that's inventing that it's one of the first. We can't say that. We can say "The 68% reduction is a specific number that Stampli chose to share. It's not clear if that figure includes all steps of the launch or just a portion." That's a question. We can also say "The company said the tools helped its team work more efficiently, but it didn't provide a comparison to a previous launch." That's a factual statement. We need to avoid making up quotes. We can paraphrase: "Stampli said the tools reduced production hours by 68%." That's fine. Let's write a longer version. We'll have: Lead: "Stampli said it cut the hours needed to produce a product launch by 68% using OpenAI's Codex and ChatGPT Work. The company didn't specify which tasks were automated, but the reduction is a clear sign of how AI tools are reshaping product work." Then a section: "The 68% figure" - expand with details about what it means, that the company didn't disclose baseline, etc. Then a section: "How the tools were used" - we can say "Stampli said the tools were used during the production phase, which typically involves writing code, creating content, and coordinating teams. The company didn't break down the tasks, but the time savings suggest a significant portion of the work was automated." That's a reasonable inference. Then a section: "The tools themselves" - we can say "Codex is an AI system that can write and edit code. ChatGPT Work is a version of OpenAI's chatbot designed for workplace tasks. Both are part of OpenAI's lineup, and Stampli used them together to streamline its launch process." That's general knowledge, but we can say "according to OpenAI" but we don't have that. We can say "Codex is an AI system that can write and edit code, and ChatGPT Work is a version of OpenAI's chatbot for workplace use." That's factual from general knowledge, but the rule says every named person, company, place, regulator, or organization must be in the facts. So we can mention OpenAI because it's in the facts. We can describe the tools as "AI tools from OpenAI" without specifying what they do. But we can say "The two tools are from OpenAI" and that's it. We can say "Stampli didn't explain how the tools were integrated into its workflow, but the result is a 68% reduction in production hours." That's fine. Then a section: "The bigger picture" - we can say "The move is part of a broader trend of companies using AI to cut costs and speed up work. Stampli's result is a concrete example of that trend in action." That's a general statement. Then a section: "What's next" - we can say "Stampli hasn't said whether it will use the same tools for future launches or expand their use to other parts of its business. The company also hasn't identified which launch benefited from the time savings. Those details could come with the next product announcement, or they might not." We need to end on a concrete next step. We can say "The company's next product launch will show whether the 68% cut was a one-time result or a repeatable process." That's a good ending. Let's write the full article. We'll aim for 600 words. We'll have: Title: "Stampli Cuts Product Launch Production Hours by 68% With OpenAI Tools" Slug: stampli-cuts-product-launch-hours-68-openai-tools Content:Stampli said it cut the hours needed to produce a product launch by 68% using OpenAI's Codex and ChatGPT Work. The company didn't specify which tasks were automated, but the reduction is a clear sign of how AI tools are reshaping product work.
The 68% figure
The number comes from Stampli's own accounting of its production process. A 68% cut means the new workflow takes roughly a third of the time it used to. The company didn't disclose the original hour count, so the exact scale of the savings isn't public. But the percentage alone points to a major shift in how the team operates.
Stampli said the tools were used during the production phase of a launch. That's the part where code gets written, content gets created, and everything gets assembled before release. The company didn't break down which tasks were handed to the AI, but the overall time savings suggest a substantial portion of the work was automated.
Codex and ChatGPT Work
Both tools come from OpenAI. Codex is designed to help with coding tasks, while ChatGPT Work is a version of the company's chatbot aimed at workplace use. Stampli didn't explain how the two were combined, but the result is a faster path from idea to launch.
The company's experience adds to a growing list of businesses using AI to compress timelines. It's not just about writing code faster
