#AI workflow hacks

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Unlock the full power of #ChatGPT with this free prompting cheat sheet. Smarter prompts = better results. Let AI work for you. 💡🚀

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Gemini AI Time Hacks

Gemini AI Time Hacks: Automate Tasks, Prioritize Goals, and Reclaim 10+ Hours Weekly

Let's be honest. In today's hyper-connected, always-on world, time feels like our most precious and scarce resource. We juggle emails, meetings, projects, personal commitments, and the relentless stream of information, often feeling like we're drowning in a sea of tasks. The promise of productivity tools has been around for years, offering calendars, to-do lists, and project managers. And while they help, they often feel like bandaids on a deeper wound – the fundamental challenge of managing not just tasks, but our attention and energy in a way that aligns with our true goals.

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I’ve spent decades studying productivity, testing systems, and coaching individuals and teams on optimizing their workflows. I’ve seen the evolution from paper planners to complex software suites. But nothing, absolutely nothing, has felt as transformative as the advent of sophisticated AI models like Gemini. We're not just talking about another tool; we're talking about a potential paradigm shift in how we interact with our work and our lives. The idea of reclaiming 10, 15, even 20 hours a week might sound like hyperbole, but I'm seeing it become a reality for those who learn to truly partner with AI.

Think of your current workflow. How much time do you spend on repetitive tasks? Scheduling emails, drafting standard responses, summarizing documents, transcribing notes, organizing files, researching basic information, creating first drafts of content? These are the necessary gears of our professional lives, but they often consume hours that could be spent on higher-level thinking, creative problem-solving, strategic planning, or simply, well, living. These are the hours AI is poised to give back to you.

I remember a time, not so long ago, when preparing for a significant client meeting involved hours of manual work. I'd sift through past correspondence, pull up relevant reports, summarize key points, research the client's recent activities, and then try to synthesize it all into concise briefing notes. It was tedious, but essential. Now? I can feed Gemini access to relevant documents and email threads, ask it to summarize the client's history with us, highlight key discussion points for the upcoming meeting, and even draft a personalized opening based on recent news about their company – all in minutes. The difference isn't just speed; it's the ability to arrive at that meeting feeling truly prepared, having spent my valuable time on thinking about the strategy, not just compiling the background.

This is the core promise of AI-powered time hacks: offloading the cognitive burden of routine tasks to free up human capacity for what we do best.

Automate Tasks: Putting Your Workflow on Autopilot

The most immediate and tangible benefit of integrating Gemini into your workflow is automation. Not the complex, code-heavy automation of the past, but natural language-driven automation that feels less like programming and more like delegation.

Let's break down how this works across common areas:

Email Management: Taming the Inbox Beast

The inbox is a notorious time sink. We spend hours reading, sorting, responding, and searching. Gemini can become your email co-pilot.

The Intelligent Investor’s Mind: AI-Powered Psychology for Wealth, Wisdom, and Well-being: A Modern Approach to Financial Success Through Self-Awareness and AI: BUY EBOOK CLICK HARE

Drafting Responses: For routine inquiries, standard updates, or even initial outreach, Gemini can draft emails based on a few key points you provide. You can refine it, inject your personal tone, but the heavy lifting of structuring sentences and finding the right words is done instantly. Imagine needing to decline a meeting request politely, provide a project update, or send a follow-up email. Instead of staring at a blank screen, you give Gemini the context and the core message, and it provides a ready-to-send draft. This isn't just about speed; it reduces decision fatigue associated with crafting countless messages daily.

Summarizing Threads: Ever open a long email thread and groan? Feed it to Gemini and ask for a concise summary of the key decisions, action items, and participants. Instantly, you grasp the essence without wading through every single reply. This is invaluable for catching up after time off or quickly getting context on an ongoing discussion.

Scheduling and Coordination: While dedicated scheduling tools exist, Gemini can assist in the natural language back-and-forth of finding a time. You can ask it to suggest meeting times based on your calendar availability (with appropriate privacy controls, of course) or even draft emails proposing options to others.

Filtering and Prioritizing: While email clients have rules, AI can potentially understand the intent and urgency of emails more effectively. Imagine an AI that learns which senders, keywords, and types of requests are genuinely high priority for you, helping you focus on what matters most when you open your inbox.

This isn't about achieving "inbox zero" for the sake of it; it's about reducing the time spent in the inbox, freeing you to focus on tasks that require your unique human intelligence.

Document Handling: From Clutter to Clarity

We work with documents constantly – reports, articles, contracts, research papers. Managing, understanding, and extracting information from them is a significant time investment.

Summarization: The ability to instantly summarize lengthy documents is a game-changer. Need to get the gist of a 50-page report before a meeting? Feed it to Gemini. Want to quickly understand the key arguments of an article? Ask for a summary. This saves hours of reading time while ensuring you grasp the core information.

Information Extraction: Need to pull out specific data points, dates, names, or figures from a document? Instead of scanning page by page, ask Gemini to extract them for you. This is particularly useful for research, data compilation, or reviewing contracts.

Drafting and Outlining: Starting a new document from scratch can be daunting. Gemini can help generate outlines, draft initial sections, or even create different versions of content based on different tones or target audiences. This overcomes the inertia of starting and provides a solid foundation to build upon.

Translation and Simplification: Working with documents in different languages or needing to explain complex topics simply? Gemini can provide quick translations or simplify jargon-filled text, making information more accessible and saving time on manual interpretation or explanation.

By automating these document-related tasks, you transform your interaction with information from passive consumption and manual processing to active engagement with synthesized insights.

Data Management and Analysis: Turning Numbers into Narratives

While complex data analysis often requires specialized tools, Gemini can significantly expedite the initial stages and help in understanding the results.

Data Cleaning and Formatting: For simple datasets, Gemini can assist with formatting, identifying inconsistencies, or even generating basic code snippets (like Python) to perform cleaning tasks.

Generating Summaries and Insights: Provide Gemini with a dataset (within privacy and security limits, of course) and ask for a summary of key trends, outliers, or correlations. It can help you quickly identify interesting patterns that warrant further investigation.

Creating Visualizations (with support): While Gemini itself might not create charts, it can generate the code or instructions needed for charting libraries based on your data, saving you the time of looking up syntax or figuring out the right chart type.

Explaining Complex Data: If you're looking at a complex report or spreadsheet, you can ask Gemini to explain specific metrics, formulas, or the meaning of certain data points in plain language.

This level of assistance turns data interaction from a chore into a more intuitive exploration, allowing you to get to the insights faster.

Prioritize Goals: Focusing on What Truly Matters

Automation is powerful, but without clear prioritization, you just become more efficient at doing the wrong things. This is where AI's ability to understand context and goals becomes crucial.

The Intelligent Investor’s Mind: AI-Powered Psychology for Wealth, Wisdom, and Well-being: A Modern Approach to Financial Success Through Self-Awareness and AI: BUY EBOOK CLICK HARE

AI-Assisted Goal Alignment

Breaking Down Large Goals: Have a big, daunting goal? Share it with Gemini and ask for a breakdown into smaller, actionable steps. It can help you create a project plan, identify potential roadblocks, and suggest a logical sequence of tasks.

Identifying High-Leverage Activities: Based on your stated goals and the tasks on your plate, Gemini can help you identify which activities are most likely to move the needle. You can ask, "Given my goal to [achieve X], which of these tasks [list tasks] should I focus on first?" AI can analyze the potential impact and dependencies, offering a more objective perspective than your potentially overwhelmed brain.

Connecting Tasks to Objectives: We often have long to-do lists without a clear sense of why we're doing each item. You can use Gemini to help connect daily tasks back to larger projects or long-term goals, providing a sense of purpose and helping you prioritize based on strategic importance rather than just urgency. "Remind me how completing [Task A] contributes to [Project B] and my overall goal of [Goal C]."

Dynamic Task Management

Intelligent Task Scheduling: Beyond simple calendar blocking, AI can potentially learn your energy levels, your focus patterns, and the typical duration of certain tasks. It could then suggest optimal times to work on specific types of tasks, scheduling your deep work for your peak focus hours and routine tasks for when your energy is lower. "Based on my past performance, you seem to be most focused between 9 AM and 11 AM. Would you like to schedule [high-focus task] during that time?"

Adaptive Prioritization: Priorities change. New urgent requests come in, deadlines shift. Instead of manually reshuffling your entire task list, you can inform Gemini of the change, and it can help you dynamically re-prioritize your remaining tasks based on the new information and your overarching goals.

Identifying Bottlenecks: By analyzing your workflow and task dependencies, AI can help you identify potential bottlenecks before they become major problems. "I notice you've been stuck on [Task X] for several days, and it's blocking progress on [Task Y] and [Task Z]. Let's explore why and how to move forward."

This isn't about AI dictating your priorities, but about providing an intelligent framework and objective analysis to help you make better, more informed decisions about how you spend your time. It’s like having a strategic advisor constantly reviewing your workload against your objectives.

Reclaim 10+ Hours Weekly: The Cumulative Impact

So, how does all this automation and prioritization translate into reclaiming significant chunks of your week? It's the cumulative effect of saving minutes here and there across dozens of daily activities.

Think about the time spent:

Opening and processing non-essential emails.

Searching for information scattered across different documents or platforms.

Drafting and revising routine communications.

Getting started on a new task because you lack a clear outline or first draft.

Feeling overwhelmed by a long to-do list and not knowing where to start.

Switching between tasks inefficiently.

Attending meetings that lack clear objectives or summaries.

Each of these might only take a few minutes, but multiplied across a day, a week, a month, they add up to hours – hours that are often spent in low-leverage activities that drain your energy without moving you closer to your most important goals.

By using Gemini to:

Automate drafting and summarizing: You save time on writing and reading.

Extract key information: You save time on searching and synthesizing.

Break down and prioritize tasks: You save time on planning and decision-making inertia.

Get help with initial drafts: You save time on overcoming the blank page.

Identify high-leverage activities: You ensure the time you do spend is on what matters most.

The impact is exponential. Saving 15 minutes on email processing, 30 minutes on document review, 20 minutes on drafting a proposal outline, and 10 minutes on prioritizing your morning tasks might seem small individually. But repeated daily, across a range of activities, these small increments quickly accumulate.

The Intelligent Investor’s Mind: AI-Powered Psychology for Wealth, Wisdom, and Well-being: A Modern Approach to Financial Success Through Self-Awareness and AI: BUY EBOOK CLICK HARE

I've seen clients, initially skeptical, start by using Gemini for simple tasks like summarizing articles. Then they move to drafting emails. Then to breaking down project plans. As they get comfortable and see the time savings, they start looking for more opportunities to delegate routine cognitive work to the AI. The 10+ hour figure isn't pulled from thin air; it's a realistic outcome when you systematically apply AI to the repetitive, low-value tasks that currently consume your week.

Beyond Efficiency: The Impact on Well-being

Reclaiming time isn't just about being more productive; it's about creating space for well-being. Those reclaimed hours can be reinvested in ways that truly enrich your life:

Deep Work: Spending uninterrupted time on complex problems that require your full cognitive capacity.

Learning and Development: Acquiring new skills, reading, or exploring new ideas.

Creativity and Innovation: Engaging in activities that spark new ideas and solutions.

Strategic Thinking: Stepping back to see the big picture and plan for the future.

Relationships: Spending quality time with family, friends, and colleagues.

Rest and Recharge: Prioritizing sleep, exercise, and hobbies to prevent burnout.

When you're not constantly battling the clock and feeling overwhelmed by a never-ending task list, you have the mental and emotional capacity to focus on what truly brings you value and joy, both professionally and personally. This is the ultimate time hack – using AI to create a more sustainable, fulfilling way of working and living.

Getting Started with Gemini Time Hacks

Adopting AI into your workflow doesn't require a complete overhaul overnight. It's a process of experimentation and integration.

Identify Time Sinks: Start by tracking where your time actually goes for a few days. Be honest. Are there recurring tasks that feel tedious or time-consuming? These are prime candidates for AI assistance.

Experiment with One Task: Pick one specific task you'd like to automate or streamline using Gemini. Maybe it's drafting initial emails, summarizing meeting notes, or breaking down a small project.

Learn the Prompts: Get comfortable with how to phrase requests to Gemini to get the best results. Experiment with different wording and levels of detail. Think of it as learning to delegate effectively to a very capable, but literal, assistant.

Integrate Gradually: As you find success with one task, look for other opportunities. How else can Gemini help you with document handling, data analysis, or planning?

Establish Boundaries and Review: Remember that AI is a tool. You are in control. Review the output, refine it, and ensure it aligns with your standards and privacy requirements. Regularly assess how the AI is impacting your workflow and adjust your approach as needed.

This journey is less about finding a magic button and more about developing a new partnership. It's about understanding AI's strengths – its ability to process information rapidly, identify patterns, and generate text – and leveraging those strengths to complement your own.

The future of productivity isn't about working harder; it's about working smarter, and AI is the most powerful lever we've had in decades to achieve that. By embracing Gemini AI time hacks, you're not just optimizing your workflow; you're investing in your capacity for higher-level work, strategic thinking, and ultimately, a more balanced and fulfilling life. The hours are there, waiting to be reclaimed. The intelligent use of AI is your key.

The Intelligent Investor’s Mind: AI-Powered Psychology for Wealth, Wisdom, and Well-being: A Modern Approach to Financial Success Through Self-Awareness and AI: BUY EBOOK CLICK HARE

[kiravandyne]

How to Automate Document Processing for Your Business: A Step-by-Step Guide

Managing documents manually is one of the biggest time drains in business today. From processing invoices and contracts to organizing customer forms, these repetitive tasks eat up hours every week. The good news? Automating document processing is simpler (and more affordable) than you might think.

In this easy-to-follow guide, we’ll show you step-by-step how to automate document processing in your business—saving you time, reducing errors, and boosting productivity.

What You’ll Need

A scanner (if you still have paper documents)

A document processing software (like AppleTechSoft’s Document Processing Solution)

Access to your business’s document workflows (invoices, forms, receipts, etc.)

Step 1: Identify Documents You Want to Automate

Start by making a list of documents that take up the most time to process. Common examples include:

Invoices and bills

Purchase orders

Customer application forms

Contracts and agreements

Expense receipts

Tip: Prioritize documents that are repetitive and high volume.

Step 2: Digitize Your Paper Documents

If you’re still handling paper, scan your documents into digital formats (PDF, JPEG, etc.). Most modern document processing tools work best with digital files.

Quick Tip: Use high-resolution scans (300 DPI or more) for accurate data extraction.

Step 3: Choose a Document Processing Tool

Look for a platform that offers:

OCR (Optical Character Recognition) to extract text from scanned images

AI-powered data extraction to capture key fields like dates, names, and totals

Integration with your accounting software, CRM, or database

Security and compliance features to protect sensitive data

AppleTechSoft’s Document Processing Solution ticks all these boxes and more.

Step 4: Define Your Workflow Rules

Tell your software what you want it to do with your documents. For example:

Extract vendor name, date, and amount from invoices

Automatically save contracts to a shared folder

Send expense reports directly to accounting

Most tools offer an easy drag-and-drop interface or templates to set these rules up.

Step 5: Test Your Automation

Before going live, test the workflow with sample documents. Check if:

Data is extracted accurately

Documents are routed to the right folders or apps

Any errors or mismatches are flagged

Tweak your settings as needed.

Step 6: Go Live and Monitor

Once you’re confident in your workflow, deploy it for daily use. Monitor the automation for the first few weeks to ensure it works as expected.

Pro Tip: Set up alerts for any failed extractions or mismatches so you can quickly correct issues.

Bonus Tips for Success

Regularly update your templates as your document formats change

Train your team on how to upload and manage documents in the system

Schedule periodic reviews to optimize and improve your workflows

Conclusion

Automating document processing can transform your business operations—from faster invoicing to smoother customer onboarding. With the right tools and a clear plan, you can streamline your paperwork and focus on what matters most: growing your business.

Ready to get started? Contact AppleTechSoft today to explore our Document Processing solutions.

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How to Use ChatGPT Plugins to Automate Daily Operations

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AI Automation Workflow-Productivity

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Python for Beginners: Launch Your Tech Career with Coding Skills

Are you ready to launch your tech career but don’t know where to start? Learning Python is one of the best ways to break into the world of technology—even if you have zero coding experience.

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Whether you want to become a software developer, data analyst, or AI engineer, Python lays the foundation.

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Even if you're not aiming to be a full-time developer, Python skills can enhance careers in marketing, finance, research, and product management.

If you're serious about starting a career in tech, learning Python is the smartest first step you can take. It’s beginner-friendly, powerful, and widely used across industries.

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[dovetail-digital]

Why Curiosity Alone Isn’t Enough

AI is everywhere: shiny new tools, bold promises, endless possibilities. According to McKinsey, 79% of executives call AI a business priority – yet only 24% say their organisations have embedded it successfully. Dabbling sparks experiments; capability builds ecosystems.

What Real AI Capability Looks Like

AI-capable teams don’t just chase the latest model. They:

📌 Pinpoint where AI fits in a broader strategy

📌 Train people to think critically, not just click “generate”

📌 Embed AI into day-to-day workflows

📌 Keep refining what works (and ditch what doesn’t)

Digital Maturity Is a Team Sport

Building digital maturity isn’t a solo hack or a one-off project. It’s an ongoing system where operations, marketing, customer experience and tech stay in sync. We benchmarked old blog posts against our new AI-augmented strategy and saw engagement jump 3–4×. That consistency and storytelling – the human touch – made the real difference.

The Silver-Bullet Trap

It’s tempting to hunt instant wins. We spoke with a national franchise recently: they wanted an overnight AI breakthrough for local marketing, but without strong foundations – local branding, a tailored website, a clear USP – a “silver bullet” was wishful thinking. AI accelerates, but it doesn’t replace strategy, positioning or persistence.

Don’t Skip the Thinking

We’ve all copied a clever prompt off LinkedIn and pasted it into ChatGPT… only to be underwhelmed. Templates without context breed generic noise. At Dovetail Digital, we build structured, reusable prompt stacks so AI works with your intent – not around it.

Why Structure Wins in 2025

The businesses succeeding with AI aren’t the fastest movers. They’re the smartest. They embed:

Governance frameworks (simple AI use policies)

Strategy layers (what AI should – and shouldn’t – do)

Human-AI collaboration models

Ongoing “build, measure, learn, refine” cycles

That’s why we created the INGRAIN AI Skills Tracker: a guided course to help leaders and marketers build real, repeatable AI capability – no coding required, no hype included.

The Bottom Line

Curiosity gets you through the door, but capability keeps you in the room. Start by mapping where you really stand today – not where the hype says you should be. Then build guardrails, keep humans in the loop and adjust when things wobble.

Ready to see if your AI strategy has substance or just sizzle? Take our free 3-Question Digital Snapshot Quiz and find out where your foundations really stand.

[marketingdrivethru]

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[shalu620]

Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.

[codeandcanvas]

Last week, I used ChatGPT to build two things

Hey everyone! I wanted to share a little story about a recent frustration that turned into a small coding adventure. If you’re into digital art, scripting, or just curious about how I hack my workflow with a Wacom and Photoshop, this one’s for you. It’s a mix of trial and error, some helpful AI assistance, and the realities of working with Adobe’s scripting quirks. Here’s how a simple idea grew into a few scripts I’m actually pretty proud of.

It’s probably well into Monday by the time you’re reading this, because I’m writing it a bit after midnight.

There was a minor grievance with how Photoshop doesn’t interact with my Wacom tablet; and that small annoyance somehow turned into two scripts (three, really) I built with the help of ChatGPT to address the issue.

What I wanted was simple: adjust the flow of a brush in Photoshop using the Wacom tablet’s Ring Menu.

The idea seemed straightforward: turn clockwise to increase the flow value, counter‑clockwise to reduce it; just like how you can zoom or rotate the canvas in Photoshop. I assumed there’d be hotkeys for increasing and decreasing flow that I could bind to the Ring Menu.

But those hotkeys? They don’t exist. Sure, you can use Shift + (0–9) to directly set the flow value, but that’s not what I was after. It’s functional, but not how I want things to work.

So I asked ChatGPT how a script would look that toggles a brush’s blend mode between Normal and Multiply, just to get started. I cleaned up the output using Copilot, admittedly got a bit carried away, tested it, and…it worked! At the push of an ExpressKey, I could switch blend modes.

I posted that script to Stack Overflow, asking for feedback on the quality of an LLM’s output. Turns out, they have a ban on LLM-generated content. Got my downvotes.

Anyway.

Next, I tackled what I really wanted: using the tablet’s ring input to control brush flow. I told ChatGPT what I had in mind, and got a script in return.

And it worked exactly as intended. It let me adjust flow by rotating the Ring—and it felt fast and snappy.

But there was a catch: it didn’t retain any of the other brush settings. Instead, it reset everything to Photoshop’s default brush when applied.

That’s when I visited the Adobe Community forums for the first time. I browsed around, read what others had done with ExtendScript—and I was genuinely amazed. I upvoted. I even commented.

Eventually, I posted my issue. [Here’s the thread, if you’re curious.] Someone responded and suggested I adapt a script from another post, and I did.

It worked. Kind of.

See, the adapted version was (and still is, as of this writing) slow. Unlike the earlier, snappy version that only touched the flow value, this one has to read, store, and then re-apply all the other brush properties every time it’s called. So if you do a quick half-circle on the Ring, you’ll be watching the flow change lag behind for a while after you’ve stopped rotating. (Fun fact: the Ring doesn’t physically rotate; Wacom employs witches and wizards, obviously)

But it worked and that’s something. Since the bottleneck is due to how Photoshop’s scripting interface works, not my implementation, I decided to upload the scripts to GitHub. For myself (should someone find a better solution), and for others (should this be the best workaround we’ve got).

At some point, I asked ChatGPT:

“This is so confusing. Why can’t we just add the changed value for flow to the existing brush settings, and leave everything else untouched?”

And it answered:

“TL;DR: You can’t just ‘set flow’ without overwriting everything else, because Photoshop scripting doesn’t support partial updates to ActionDescriptors.”

And that’s where things stand: somewhere between not as fast as it could be in a better world (where Adobe supports partial updates), and doing it all manually, dragging sliders around with the mouse.

The other thing I did this week was build a custom RSS parser in Huginn for my Goodreads “read” shelf. With ChatGPT helping me outline the approach, everything went surprisingly smoothly.

Since I wanted to post to Twitter/X and Threads every time I finished a book—and include its genre as hashtags—I started adding custom shelves on Goodreads for genres.

These genre shelves show up in the RSS feed that Goodreads generates, which made them accessible for automation.

However, because IFTTT can’t really parse RSS feeds to manipulate or modify content (like extracting specific info or adding hashtags), I turned to Huginn—a trusty old friend whose scripting language I had completely forgotten.

Thanks to guidance from ChatGPT and some trial and error, I ended up with an internal setup in Huginn that looks like this:

And it works! I expect to need some more tweaking, though. There’s a bit of randomness in the setup: ChatGPT suggested using a modulo operation on the date to select one out of six variations of the text “Read: [Title of book]” to send to the Output agent, so my posts don’t look exactly the same every time.

I’m not sure if or when I’ll add this script to my GitHub, but chances are good. For now, I really need some sleep; these late nights chasing dragons through trial and error must come to an end.

So that’s the update from my digital studio. Sometimes it’s just a small inconvenience that sparks the biggest creative experiments; and occasionally, a friendly AI and some forums can make all the difference. If you’re tinkering with Photoshop scripts, Wacom gadgets, or automation like me, I hope this gives you a bit of inspiration or at least a relatable story. I’ll keep sharing these little journeys as they come. Thanks for reading! This was fun!