> ## Content Index > Fetch the complete content index at: https://anukulsaini.com/llms.txt > Use this file to discover other available public pages before exploring further. # AI Tools for Product Managers: The Ones I Use Daily - URL: https://anukulsaini.com/ai-tools-for-product-managers/ - Published: 2026-03-05T13:29:52.000Z - Updated: 2026-04-15T07:59:49.000Z - Description: A product manager's honest take on the best AI tools — not a generic list, but the actual tools I use daily to ship faster, write better PRDs, and stop drowning in meetings. - Author: Anukul Saini - Tags: Product Management I’ll be honest with you — a year ago I was skeptical about AI tools for product managers. Not because I didn’t believe in AI, but because most “AI for PMs” content felt like lists made for clicks, not for real work. So I did what any PM would do: I tested these tools inside my actual workflow — PRDs, roadmaps, stakeholder updates, research notes, and the messy in-between. I’m writing this as someone who ships features at work, and also builds on the side — including a platform for gamers and iterate on like a real product (user feedback, content, SEO, continuous improvements). Here’s what actually stuck. ## Why AI tools matter (for PMs) PM work is full of context switching. One minute you’re in a sprint discussion, then you’re explaining a tradeoff to leadership, then you’re writing a doc that needs to be “clear enough” for engineering and “simple enough” for non-tech stakeholders. AI helps most when it removes the **blank page problem** and the “busywork tax”: - Turning messy notes into structured docs - Summarizing calls and threads - Generating first drafts you can improve - Speeding up research and comparisons (without you opening 20 tabs) Used correctly, it doesn’t replace thinking — it buys you time to do more thinking. ## My context (so you know where this is coming from) I’m currently a Product Growth Manager, and I care a lot about building products, not just reporting numbers. I also recently migrated my personal site (anukulsaini.com) from WordPress to Ghost CMS so I could ship faster, stay lightweight, and get out of the plugin/bloat trap. That migration pushed me into a more “product engineer” mindset: own the full experience, prototype quickly, and optimize end-to-end. I’m also building an “AI Citations” style tool concept that checks where a website is mentioned across AI search assistants and gives suggestions to improve visibility. That project alone taught me how powerful AI becomes when you combine product thinking + research + automation. ## The AI tools I actually use (and why) ### 1) ChatGPT — my thinking partner I use ChatGPT the most, but not as an “auto-writer.” I use it as a thinking partner. What it’s great at: - Turning bullet points into a PRD outline - Creating multiple positioning angles for the same feature - Writing “first-pass” stakeholder updates I can tighten - Stress-testing a roadmap decision by arguing both sides **How I use it:** I give it context + constraints + audience. Then I ask for structure first (outline, headings, decision options), and only then ask for a draft. --- ### 2) Notion AI — where my docs live If your docs already live in Notion, Notion AI is an easy win. What it’s great at: - Summarizing messy meeting notes into clear action items - Turning scattered thoughts into readable docs - Creating reusable templates (specs, retros, weekly updates) It’s not magic — but it reduces the friction of documentation, which means you actually do it. --- ### 3) Perplexity — fast research with sources When I need to research something quickly and I want citations/sources I can cross-check, I use Perplexity. What it’s great at: - Competitive research - Market scanning - Finding recent references without drowning in tabs - Getting a quick “what’s the landscape?” answer before I go deep This is especially useful when you’re writing a strategy doc and you need external context without guessing. --- ### 4) Gamma — decks without wasting your life I used to lose hours making decks. Gamma makes it fast to go from outline → clean presentation. What it’s great at: - Roadmap/strategy decks - Stakeholder updates - “Here’s the plan” narratives It’s not perfect for pixel-level control, but it’s perfect for speed. --- ### 5) Dovetail — turning interviews into patterns If you do user interviews (or even internal stakeholder interviews), Dovetail can save you a lot of manual synthesis. What it’s great at: - Finding repeated themes - Grouping feedback - Summarizing what changed across conversations PMs don’t lose time in interviews — they lose time after interviews, when insights stay trapped in notes. This helps unlock that. --- ### 6) Zapier (or automation in general) — the glue Automation isn’t flashy, but it’s the difference between “we should do this” and “we actually do this.” What it’s great at: - Sending feedback to a central place - Creating tasks automatically from forms/emails - Keeping your workflow consistent If you feel like you’re “copy-pasting your job” between tools, fix that first. > Most of these AI tools shine when you’re in the middle of [building a product roadmap](https://anukulsaini.com/how-to-build-a-product-roadmap-from-scratch/) — they help you move from raw data to structured priorities. --- ## What I tried and dropped Not everything is worth it. - Tools that force a full workflow change just to use the AI feature (high switching cost). - “PRD generator” tools that look nice but don’t beat a strong ChatGPT prompt + your own context. - Anything that adds another subscription but doesn’t clearly save time every week. My bias is toward a lean stack: fewer tools, deeper usage. --- ## How to adopt AI without overwhelming yourself Here’s the approach that worked for me: 1. Pick one workflow (PRDs, research, meeting summaries). 2. Use one tool for 2 weeks in that workflow only. 3. Track whether it actually saved time or improved quality. 4. Keep what works; drop what doesn’t. 5. Only then add the next tool. The goal isn’t “use AI.” The goal is “ship faster with less stress.” > If you want to see [AI-powered automation in practice](https://anukulsaini.com/how-i-automated-my-blog/), I documented how I used it to run my entire blog pipeline. --- ## The bigger shift: PMs who build will win In 2026, the most valuable PMs aren’t just great at writing docs. They can prototype, automate, and ship MVP-level output faster. That doesn’t mean everyone must become a full engineer. But having a builder mindset — and using AI to close gaps — is becoming a real advantage. That’s the direction I’m personally leaning into: product thinking + execution speed + enough technical depth to move without waiting on a full team. > If you want to use AI to [understand system design as a PM](https://anukulsaini.com/system-design-basics-for-product-managers/), I’ve covered the fundamentals you need in a separate post. --- ## Bottom line If you’re a PM and you feel like your days disappear into docs, meetings, and “alignment,” AI tools can give you time back. Start with one: - ChatGPT for docs and thinking - Perplexity for research - Notion AI for writing and structure - Gamma for decks - Dovetail for synthesis - Automation to remove repetitive ops Use them to remove friction, not to outsource judgment.