# My AI Tool Stack for Product Work | We Call Shotgun > The exact AI tools I use daily for product management — from research to PRDs to competitive analysis. No fluff, just what actually works. Source: https://wecallshotgun.com/blog/my-ai-tool-stack-for-product-work Language: en --- [Your Spicy Advisory becomes We Call Shotgun!Read the story →](https://wecallshotgun.com/blog/spicy-advisory-is-now-we-call-shotgun) [HOME](https://wecallshotgun.com/) [ABOUT US](https://wecallshotgun.com/about) [REVIEWS](https://wecallshotgun.com/reviews) [BLOG](https://wecallshotgun.com/blog) [Book a Call](https://cal.com/wecallshotgun/ai-adoption) AI Tools # My AI Tool Stack for Product Work By [Toni Dos Santos](https://wecallshotgun.com/about) • Mar 15, 2025 • 6 min read SummaryThe exact AI tools I use daily for product management — from research to PRDs to competitive analysis. No fluff, just what actually works. I get asked this question at least three times a week: **"What AI tools do you actually use?"** Not what I've tried. Not what looks cool on Twitter. What I actually open every single day to get product work done faster and better. So here it is — my full AI tool stack, broken down by use case. Every tool here has earned its spot by saving me real hours, not just promising to. ## Research & Discovery ### Perplexity — My Default Search Engine I barely open Google anymore. Perplexity is where I start every research task — market sizing, competitor features, technology trends, you name it. The killer feature? It cites its sources, so I can verify claims before putting them in a deck. **How I use it:** - Quick competitive analysis ("What are the top 5 features of [competitor]?") - Market research with citations for stakeholder presentations - Technical feasibility checks before writing specs - Staying updated on industry trends without drowning in newsletters ### Claude — The Deep Thinker When I need nuanced analysis, Claude is my go-to. It's particularly strong at synthesizing large amounts of information and finding patterns I might miss. I use it for user interview analysis, strategy brainstorming, and any task that requires careful reasoning. ## Writing & Documentation ### ChatGPT — The Versatile Workhorse For drafting PRDs, user stories, and stakeholder communications, ChatGPT with GPT-4 is hard to beat. I've built custom GPTs for specific tasks: - **PRD Drafter:** Takes rough bullet points and outputs a structured PRD with acceptance criteria - **User Story Generator:** Converts feature descriptions into properly formatted user stories with edge cases - **Stakeholder Email Writer:** Turns my blunt notes into diplomatic, clear updates > Pro tip: The custom GPT feature is underrated. Build one for your most repetitive writing task — you'll save 20 minutes every time you use it. ### Notion AI — Inline Documentation Help Since our team already lives in Notion, having AI built right into the docs is a game-changer. I use it for summarizing meeting notes, cleaning up rough drafts, and generating action items from long discussion threads. ## Design & Prototyping ### Figma AI — Design Feedback at Scale I'm not a designer, but I review a lot of designs. Figma's AI features help me annotate prototypes faster and generate layout suggestions. When I need to mock up a quick wireframe for a meeting, AI-assisted design gets me 80% there in minutes. ### v0 by Vercel — Instant UI Prototypes This one's newer in my stack but I'm already hooked. Describe a UI component and v0 generates working code. I use it to create quick prototypes during discovery — nothing fancy, just enough to show stakeholders "here's roughly what I'm thinking." ## Data & Analytics ### ChatGPT Code Interpreter — Instant Data Analysis Upload a CSV, ask a question, get a chart. I use this constantly for: - Analyzing user survey responses - Visualizing funnel data before building dashboards - Quick A/B test calculations - Exploring datasets before writing formal analysis requests It's not going to replace your data team, but it'll make you 10x faster at exploring data on your own. ## Automation & Workflow ### Make.com — Connecting Everything The glue between all these tools. I have automations that pull competitor updates into a Notion database, summarize Slack threads, and generate weekly digest emails. More on this in a future post. ## What I've Tried and Dropped Transparency matters, so here's what didn't stick: - **Jasper:** Too marketing-focused for product work - **Copilot in Word:** Notion AI does it better for my workflow - **Midjourney:** Amazing but I rarely need custom images in product work ## The Bottom Line My stack isn't about having the most tools — it's about having the **right tool for each job**. Start with one or two that address your biggest time sinks. Master those before adding more. The PMs who'll thrive aren't the ones using the most AI tools. They're the ones who've figured out which tools genuinely accelerate their specific workflow. What's in your stack? Hit reply and let me know — I'm always testing new tools. **Need help building your AI-powered workflow?** At [We Call Shotgun](https://wecallshotgun.com/enterprise), we help startups integrate AI into their product and GTM processes. For enterprise teams, check out our [AI adoption programs](https://wecallshotgun.com/enterprise). ## Keep Reading [AI Tools Aug 23, 2026 ### CBI Adoption Decade Report: The AI Execution Divide Is a People Problem The CBI, with Oliver Wyman, has asked the UK government to make the next ten years an “adoption decade”. The headline number is a 49% vs 15% ROI gap between AI deployment leaders and laggards buying the same technology. Here is our perspective on why that gap is behavioural, and what to do about it in 90 days. 14 min read Read →](https://wecallshotgun.com/blog/cbi-adoption-decade-ai-execution-divide) [AI Tools Aug 17, 2026 ### AI Adoption Training: Why Most AI Projects Fail After Go-Live (UK Guide 2026) AI adoption training is the discipline most AI projects skip: workflow-first enablement that turns paid licences into changed daily work. Why projects die at the handover cliff, what a real programme contains, the day-90 test, who actually sells it in the UK, and what it costs. 7 min read Read →](https://wecallshotgun.com/blog/ai-adoption-training-uk) [AI Tools Aug 17, 2026 ### AI Advisory vs Implementation vs Training: Which AI Partner Do You Actually Need? Advisory produces decisions, implementation produces systems, training produces changed behaviour — three different purchases that firms blur to sell their own lane. 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