Start with an Oleno Play
Use a library Play for work such as a comparison, buyer guide or product marketing article. Review its inputs, steps and checkpoints, then adapt it to your team. Keep the original available so you can see what you changed.
The finished deck doesn’t tell you which questions changed the story, which sources helped or where someone stopped to review it. Save that process as a Play, with the starting information, steps and expected work. The next person has a way to get started, not just a deck to imitate.
Let's use that one. About 45 seconds. I want governance, MCP and plays in there. Especially someone starting work in one chat and someone else picking it up.
I agree. It still feels like checkboxes. Make it 60 seconds if that gives us room. Think about a CMO hearing this for the first time.
Building a good AI workflow for yourself is doable. It gets harder when your team, freelancers and AI agents are working in different tools. Everyone needs the same positioning, product details and buyer context.
Build a Play around a process your team wants to repeat, or adapt one from the Oleno Play Library. Set out what to start with, what to make and where someone should stop for a decision.
The useful details are often the ones you would otherwise explain in a message: which buyer to focus on, which example to look at and what needs approval before the next step.
Use a library Play for work such as a comparison, buyer guide or product marketing article. Review its inputs, steps and checkpoints, then adapt it to your team. Keep the original available so you can see what you changed.
Build a custom Play for a launch story, sales narrative, video script or another marketing process. Add the questions, examples and review points that made the work better. Try it privately, make the changes it needs, then share the version you want others to use.
A Play gives the work a sequence. Your product information, positioning, buyer research and sources give it substance. For author-led writing, include guidance and original samples so the writer has something specific to learn from.
Put the important decisions where they can still change the work. Establish the buyer before writing the brief. Agree on the story before developing the script. Check the claims before anyone starts producing the finished piece.
In Oleno's own video project, the brief started at 45 seconds. Reviewing the story led to a longer script, with more room to explain how the team works across AI tools.
The saved work kept the revised narration, visual plan and review decisions together. The next stage could start with the agreed story and the reasons behind it.
Yes. Use a compatible connected AI tool to create and update the starting inputs, steps, expected work and review points. You can also adapt an Oleno library Play and try your version privately before sharing it.
Your connected AI tool does the writing, analysis and production using the tools and permissions available to it. Oleno provides the process and company context and keeps selected work you save. A video Play still needs a tool that can make the video.
Existing work stays linked to the version it used. You can improve the process for future assignments while keeping the earlier steps and decisions available.
No. The process, the saved work and its sources have separate access requirements. Someone can follow a shared Play without gaining access to every project made with it.
Save the steps and review points as a Play, with drafts and decisions alongside it.