Okay so, I'm just gonna be honest with you. Running a solo consulting business, especially in AI, means I wear all the hats. I'm the engineer, the marketer, the accountant, the guy who fixes the coffee machine when it inevitably acts up. There's just not enough time in the day, right? So, I'm always looking for ways to get more done without totally burning out.
This past month, I really leaned into AI to help me out, and it kinda saved my bacon. I'm not talking about fancy, abstract 'synergies' or 'transformative paradigms' – just practical stuff that actually works. I kept a little log of the prompts that truly made a difference, the ones that felt like having an extra pair of hands, or maybe even an extra brain. Here are 10 of 'em that genuinely saved me hours and helped me keep my sanity.
1. Draft a robots.txt file for a specific CMS
This one came up when I was setting up a new client site on Webflow. I needed a robots.txt file that was pretty standard but also needed to disallow certain staging paths and ensure sitemap.xml was correctly referenced. Instead of digging through Webflow's documentation or Googling for a generic template and then tweaking it, I just prompted. I usually use Claude 3 Opus for this because it's pretty good with understanding technical context. My prompt was something like: "Draft a robots.txt file for a Webflow site. Disallow /staging/* paths and ensure the sitemap.xml is correctly referenced at the root." It gave me a clean, ready-to-use file in seconds. Saved me at least 15-20 minutes of fiddling and double-checking.
2. Generate LinkedIn post ideas based on a recent blog post
After I publish a new blog post – like this one, actually – I need to promote it. Coming up with fresh angles for LinkedIn, Twitter (or X, whatever), and Mastodon can be a drag. I used to just rephrase the headline a few times, which wasn't super effective. Now, I paste in the blog post URL (or the full text if it's not live yet) and ask for 3-5 distinct LinkedIn post ideas. I'll often specify "include a hook, 2-3 bullet points, and a clear call to action." I'll also ask for different tones – one factual, one slightly more provocative, one asking a question. This saves me a solid 30 minutes per post of staring at a blank screen and trying to be clever.
3. Summarize a long client meeting transcript for action items
Oh man, client meetings. Important, but sometimes they just go on and on, right? And then you're left with pages of notes, trying to remember who said what and what the actual next steps are. I record my meetings (with permission, of course) using tools like Fathom.ai, which transcribes everything. Then I'll feed that transcript into an LLM, typically GPT-4 because it's so good at complex summarization. My prompt is usually: "Review this meeting transcript. Identify all action items, who is responsible for each, and the suggested deadline if mentioned. Also, provide a brief summary of key decisions made." This is a massive time-saver, easily an hour per meeting, because I get a concise digest without having to re-listen or re-read everything.
4. Create simple Python functions for data cleaning
My work often involves pulling data from various sources, and that data is rarely clean. I'm not a full-time data engineer, so sometimes writing those little helper functions for things like converting "True" and "False" strings to actual booleans, or handling missing values, can take longer than I'd like. I'll prompt with something specific like: "Write a Python function that takes a Pandas DataFrame column and converts string representations of 'True' and 'False' (case-insensitive) to actual boolean True/False values. Handle NaN by converting them to None." It's usually a 90% ready snippet that I just need to tweak slightly. That's 20-30 minutes I get back for more important stuff.
5. Brainstorm blog post titles for SEO targeting specific keywords
Coming up with catchy and SEO-friendly titles is harder than it looks. I usually have a topic and a few target keywords in mind, but the actual title needs to grab attention and signal to search engines what the post is about. I'll use tools like SEMrush or Ahrefs to find some keywords, and then I'll feed them into an LLM. For instance: "I'm writing a blog post about 'practical AI for small businesses'. Suggest 10 title ideas that incorporate this phrase and sound appealing to solo operators in Florida. Aim for a conversational, helpful tone." This gets me a great starting point, often better than anything I'd come up with on my own quickly, saving 15 minutes of head-scratching.
6. Generate social media captions for an image
When I'm sharing an update about a project or a quick tip, I often include an image or a screenshot. Writing good captions that explain the image and engage the audience can be surprisingly time-consuming. I'll upload the image (if the tool supports it, like GPT-4V) or describe it in detail and ask for a caption. My prompt often looks like: "Generate 3 short, engaging social media captions for this image showing a simplified AI workflow diagram. Focus on the benefit of clarity and efficiency. Use emojis appropriately." This saves me 10-15 minutes of trying to craft the perfect pithy remark, and the options are usually pretty solid.
7. Summarize complex technical documentation
I often have to dive into new APIs or technical frameworks for client projects. Reading through hundreds of pages of documentation is a huge time sink. What I do now is copy-paste relevant sections (or point to the URL if the LLM can browse) and ask for a summary. A typical prompt: "Summarize the key functionalities and most common use cases of this API documentation. Highlight any important limitations or authentication requirements." This doesn't replace reading the docs entirely, but it gives me a super quick overview and lets me zero in on the parts that matter most, easily saving an hour or more of initial skimming.
8. Draft an email explaining a technical concept to a non-technical client
This is a classic challenge. I understand the tech inside and out, but my clients might not. Explaining something like 'model inference latency' or 'vector embeddings' in plain, non-jargon language is crucial. I'll describe the concept and the client's background, then ask the AI to draft the email. My prompt: "Draft an email to a client, a small business owner, explaining why the initial AI model training takes longer than subsequent inference, and how this impacts their project timeline. Use simple, analogy-driven language, avoiding technical jargon." This used to take me forever to get right, agonizing over every word. Now, it's 10 minutes max, and the first draft is usually excellent.
9. Generate ideas for a basic A/B test for a landing page
When I'm helping clients optimize their website, coming up with effective A/B test ideas can be tricky. You want tests that are significant but also easy to implement. I'll feed the AI a description of the landing page and its goal. For example: "Our landing page aims to get users to book a consultation call. Suggest 3 A/B test ideas for the main call-to-action button, varying the text, color, or placement. Explain the hypothesis for each." This helps me think beyond just changing a word and gives me concrete, testable hypotheses. Saves 20-30 minutes of brainstorming and ensures I'm considering multiple angles.
10. Outline a workshop agenda for a specific AI topic
I occasionally run small workshops for clients or local business groups on practical AI topics. Structuring these workshops, especially timing and content flow, can be a bit of a puzzle. I'll give the AI the topic, duration, and target audience. For instance: "Outline a 2-hour workshop agenda on 'Getting Started with AI for Small Business Owners'. Include introduction, 3-4 main topics with estimated times, a hands-on activity idea, and a Q&A session. Assume the audience has no prior AI knowledge." This gives me a solid framework in minutes, which I then flesh out with my specific content. It's a huge head start, easily saving me an hour of outlining.
Alright – that's the list. Other ones I almost included: drafting replies to common support questions, generating boilerplate legal disclaimers, and even coming up with simple meal ideas based on what's in my fridge (hey, that counts as time-saving, right?).
Want help figuring out which of these AI tools or prompts could fit into your business and save you some serious time? Book a 20-min call with me – it's free, and we can chat about what's making you pull your hair out. No pressure, just practical advice.