Assignment #1:The automation I built will help my business by cutting down time spent on repetitive research and reporting tasks that AI can handle much faster—like generating initial market overviews and compiling lists of Italian automation events or companies to target. Assignment #2:My biggest challenge in building this automation was tweaking and restructuring the prompts so that the outputs actually fit my intended business needs in the Italian market. I had to go through several trial-and-error rounds, mixing AI suggestions with my own research and logic. If anyone has recommendations for more effective prompt engineering or alternative workflows, I’d really appreciate your insights!

Assignment #1: My biggest AI surprise was learning companies i did not know exist, so i followed them on Linkedin. Assignment #2: This tool will help my business by narrowing my niche to my advantage over the big competitors. Assignment #3: The prompt tweak that worked best was changing my initial broader prompt to a more niched prompt.

Assignment #1: The automation I built will help my business by stay informed about the market and competitors. Identify trends, and opportunities to growth. Assignment #2: My biggest challenge building this automation was finding a proper prompt for each model and I made some tweaks to the prompt that worked well.

Assignment #1: The most interesting thing I noticed comparing Perplexity and ChatGPT is that Perplexity gives much more specific, up-to-date details, and its linked sources at the end make it much easier to verify facts. I also appreciated how the related questions section helped me discover niche aspects of the Italian automation market I wouldn’t have thought to investigate otherwise, like regional funding differences and sector-specific demand. Assignment #2: Using Perplexity as a real-time research tool will change my business because it surfaces more local competitors and potential partners in the Italian market than I could have found on my own. It made me aware of startup accelerators and events in Milan and Turin that are worth attending or connecting with. This helps me spot collaboration and outreach opportunities to grow our client base and learn industry best practices. Assignment #3: My most effective research strategy was to ask both platforms for examples of actual Italian companies delivering AI automation solutions, and then keep refining my questions to focus on industries we want to target, like logistics and manufacturing in Lombardy. By continuously prompting both tools for more specifics (like company case studies, partnerships, or government grants in 2024), I ended up with a shortlist of real organizations to follow up with—and a much clearer understanding of gaps we can fill in the local market

I asked the bot to create a report on the AI Automation market locally, in Italy. ### Assignment #1: My biggest AI surprise was—again, heavy hallucination—but this time the AI invented entire Italian tech regulations that don't exist yet, referencing imaginary government funding programs. It presented these as if they were established facts. This was frustrating, as anybody familiar with the Italian tech scene knows that real policies and catalysts in automation tend to lag behind other EU countries! For the OpenAI part, I started with your suggested prompt. The response was moderately helpful—some interesting observations about the northern industrial corridor and the Milan-Rome tech split, but very vague about actual market players and numbers. The real issue was when it listed local "innovation consortia" that, upon checking, simply don’t exist. This made it very hard for me to trust the summary as reliable to pass on, especially for any serious client work. ### Assignment #2: This tool will help my business by—helping me quickly scan the landscape for known trends and put together a summarized view of sectors like manufacturing and logistics. It flagged the automotive and fashion automation clusters as hot spots, which I did already know, but it reframed this in the context of post-pandemic digital acceleration. The biggest value was in using the overview as a jumping-off point to do further, targeted research. The bot helped me see the ongoing challenges with SME digital adoption in southern Italy more clearly and gave me keywords and concepts to pursue, like “Industria 4.0 incentives” (which *do* actually exist, but the explanation wasn’t perfectly nuanced). I can see this working as a first stop for brainstorming, before digging into authoritative Italian sources. ### Assignment #3: The prompt tweak that worked best was… I told ChatGPT to assume the role of a European market research analyst with a focus on Italy, and specifically asked it to cite real reports or data, or *clearly* mark where it is simulating or hypothesizing. I gave feedback on my dissatisfaction with fluff about “innovation hubs.” In response, it generated a much more caveated answer, prefacing sections with “Based on available information as of 2023, but concrete data for 2024 may be limited.”