Pokee AI: The Next Leap in Workflow Automation for Developers
In the world of AI and automation, we’re often faced with a frustrating paradox. We have powerful, specialized AI agents for coding, writing, and searching, but they exist in isolated bubbles. Getting them to work together requires a clunky, manual process of copying and pasting, which defeats the very purpose of automation. This is where a new, more intelligent approach is needed.
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[Diagram showing different types of AI agents in separate boxes, illustrating their isolation.]
One of the biggest issues with the current state of automation is that most tools and AI agents are stuck inside their own little worlds. You have a coding agent, a writing agent, a scheduling agent, and a search agent, all operating independently. The user is left in the middle, manually connecting the dots and orchestrating these tools, which is a significant pain point and a source of friction.
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[Text on a black background stating ‘Zapier & IFTTT is very basic for AI agents’.]
We’ve had tools like Zapier or IFTTT for years, and while they’re great for simple, “if this, then that” tasks, they lack any real intelligence. They follow rigid, predefined paths. If anything unexpected happens, the whole workflow just breaks. You’re not really delegating a task; you’re just programming a very simple robot.
This rigidity creates significant workflow friction and cognitive load, especially for developers who are already juggling numerous services like GitHub, Jira, Slack, and Google Docs.
Introducing Pokee AI: The True Foundation Agent
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[The main dashboard of Pokee AI, showing various pre-built workflow templates.]
A new tool called Pokee AI is designed to fix this fundamental problem of disconnected, unintelligent automation. It acts as a proper AI agent—a true foundation agent—that connects to all the different apps you use and runs complex, multi-step workflows across them. It’s not just a chatbot that gives you text; it’s an agent that performs actions.
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[Pokee AI’s ‘Workflows’ section, displaying a saved workflow named ‘LinkedIn Trend Article Creator’.]
Pokee AI is built on what its creators call Decision Intelligence. This means it doesn’t just follow a simple script. It understands the intent of your task, dynamically generates a logical plan, and then executes those steps across different platforms, even handling errors along the way.
It’s the difference between telling a simple script, “When a commit happens, post a message,” and telling an intelligent agent, “Keep my community updated on our project’s progress.”
Pokee AI in Action: From Prompt to Execution
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[The chat interface in Pokee AI for creating the ‘Draft LinkedIn Articles on Industry Trends’ workflow.]
To see how it works, let’s start with a simple natural language prompt. For instance, we can ask Pokee AI to draft engaging LinkedIn articles about industry trends. The AI will then ask clarifying questions to ensure it understands the goal, such as the target industry, the number of articles, and the specific trends to cover. Based on this interaction, it generates a complete workflow plan:
- Search online for current booming trends in the specified industry.
- Write an engaging LinkedIn article for each trend.
- Post both articles to your LinkedIn profile.
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[The Pokee AI interface showing the workflow execution starting after the plan is confirmed.]
Once the user provides the necessary inputs (like “AI Coding” for the industry) and confirms the plan, Pokee AI gets to work. It acts as an orchestrator, or a conductor, telling each integrated app what to do and when. It connects to Google for searching, its internal writing tools for drafting, and the LinkedIn API for posting.
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[The task progress view, which shows the current status of each step in the workflow.]
The interface provides a real-time view of the task progress. You can see each step as it’s executed, from “Organizing the necessary information” to analyzing research and generating search queries. This transparency allows you to monitor the agent’s work as it pieces together the final output.
Example 1: GitHub Release Notes to Google Doc
Let’s look at another developer-centric task: summarizing GitHub release notes. The prompt is straightforward:
I want a workflow where I can give a github repo URL and make it summarize the latest release notes of a repo and put it in a google doc.
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[A Google Doc showing the ‘Latest Release Notes Summary’ generated by the Pokee AI workflow.]
Pokee AI immediately generates a multi-step workflow. It fetches the latest release from the provided GitHub URL, summarizes the notes, creates a new Google Doc with a specified title, and writes the summary into it.
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[The workflow results panel in Pokee AI, with a direct link to the newly created Google Doc.]
The entire process is completed in minutes, and the final output is a neatly formatted Google Doc, accessible via a direct link in the Pokee interface. I didn’t have to touch a thing after the initial prompt.
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[The ‘Schedule Workflow’ modal in Pokee AI, allowing users to set up recurring runs of the workflow.]
What’s more, this workflow is now schedulable and parameterized. You can set it to run on a recurring basis (e.g., every Friday at 9 AM) using natural language or a specific date and time, ensuring your project updates align perfectly with your team’s cadence.
Example 2: From README to a 6-Slide Deck
Another common task for developers is converting documentation into a presentation. With Pokee, this becomes incredibly simple.
From a given README.MD for a project, generate a six slide deck.
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[The Pokee AI interface generating a new workflow to create a 6-slide deck from a README file.]
After uploading the README.md file and providing a title, Pokee builds a workflow that:
- Reads the contents of the file.
- Creates a title slide.
- Searches for relevant images for each section.
- Generates slides for “Introduction,” “Key Features,” “How it Works,” “Getting Started,” and a “Conclusion.”
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[The completed slide generation workflow, showing green checkmarks next to each generated slide.]
The AI actively works within your connected Google account to build the presentation, converting each section into a separate, professionally formatted slide complete with relevant images, badges, and text styling.
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[The final Google Slides presentation with a title slide, introduction, features, and other generated content.]
The result is a complete, ready-to-use Google Slides deck. Because all workflows are reproducible, you can easily generate a similar presentation for a different project by simply swapping the input README.md file and updating the title, ensuring consistency across all your project overviews.
Pokee AI represents a significant step forward for what AI agents should be. It’s not just about talking; it’s about doing. By connecting your apps and understanding your intent, it handles the complex, multi-app workflows that are a huge part of a developer’s daily grind, freeing you up to focus on what truly matters.