What AI tools do you use the most?

12 answers

Post·1d ago

GifBook turns your favorite GIF into an actual flipbook you can hold. Seriously. Open it in your browser, watch the preview, and boom—free PDF ready to print at home. Grab scissors, grab tape, pretend you're crafting something artisanal. When you're tired of DIY and want the real deal, we'll print and bind them in packs of five with shipping included across the US and Canada. Customize covers, titles, whatever. Your file stays on your computer until you actually commit to an order.

www.mrbray.com/gifbook

Kyan Longnion @kclongnion

Post·1w ago

When possible, I supplement my workflow with ChatGPT and Claude the most to maximize efficiency across projects in my career:

California HR Compliance Project: researched regulations, interpreted requirements, built supervisor checklists, and created bilingual documentation.

SAGE Companion Launch: conducted customer research, developed marketing strategy, managed outreach, ran user testing, and coordinated advertising.

Compensation Analysis: analyzed role requirements, benchmarked market rates, compared geographic data, and delivered recommendations.

Consulting Case Development: framed client problems, built analytical frameworks, developed recommendations, mapped implementation steps, and prepared presentations.

Business Development: identified prospects, built contact databases, mapped partnership opportunities, and structured outreach campaigns.

When I can automate synthesis or documentation, I do. It frees me to focus on the work that actually moves projects forward.

Ilya Poluyakhtov @ipoluyakhtov

Post·1w ago

I've been fun of Notion, Anthropic and Perplexity for some time. Claude Cowork allows to develop, customize and apply legal plugins. Perplexity helps with the research. Notion is my favourite app for daily operational job of managing team, tracing contracts, running controls and making Wikis.

cristina bro _ mcb @cristinabrodu

Post·1w ago

Left Aon in 2019 and launched an eCommerce platform for preventive health, managing 30+ contractors. After two years tryin to building a legal tech startup from 2022, while also pursuing a legal trainee contract and funding for a legal degree at BPP where I had been admitted.

The years 2024 and 2025 got rough, living in hostels between short term leases, because renting in a flatshare as a freelancer without an employment contract is very challeng in London. Yet, I learned to code in Python, JS, HTML, tested AI tools.

By spring 2026, I ditched library PCs (the pain of walking miles with back issues wasn't worth it) and switched to AI-only workflows on minimal hardware. Now I build with Vercel, Replit, and Claude.

Cristina Brodu @crib3001

Post·1mo ago

Left Aon in 2019 and launched an eCommerce platform for preventive health during the pandemic, with 30+ contractors and solo-led work on Wix AI Design, Canva, Figma, Notion. Then ChatGPT dropped and from 2022 I spent 2 years trying to build a legal tech startup, while pursuing a trainee contract and degree.

2024 and 2025 were rougher, living in backpacker hostels between short term rentals, due to the challenge of renting as a freelancer.

Yet in 2025 I learned to code in Python, JS and HTML from Grok and Copilot, and tested many AI tools: ElevenLabs, Hedra, Kling, Veo, Flow and Stitch by GLabs, Seeedance, Flux, Hunyuan, Wan. Claude for data visualisation and code.

Then from autumn 2025 to spring 2026 I had to suffer unnecessary enormous physical pain due to walking miles to libraries to use Tableau and Adobe online on time-limited PCs

At the end by spring 2026 I quit the libraries PCs, and I opted for AI-only workflows and agents in Vercel, Replit, Eleven Agents, Wabi & more, that run on tiny hardware

Jay Lim @evolv3labs

Post·1mo ago

Lately Codex, Antigravity, Gemini, ChatGPT, evolv3 Multi-Agent OS (powered by OpenClaw).

Jesse Bray @mrbray

Post·1mo ago

Claude and Codex

Hanjong lee @walterlee79

Link·1mo ago

claude-startup-roi-framework-rclvgwxgynst2pepcm5ywm.streamlit.app

Product Strategist & Builder — Claude Startup ROI Predictor

English final recommendation Designed and built a scenario-based ROI prediction framework to help Anthropic’s Startup Ecosystem and Account Management teams evaluate the expected impact of Claude API credits. I defined the core decision variables—including API credit value, implementation cost, annual task volume, time saved per task, labor cost, automation potential, and expected adoption—and translated them into an interactive decision-support tool. The model generates probability-weighted R

Open link

Hanjong lee @walterlee79

Article·1mo ago

For decades, centralized media smoothed over differences.

For decades, centralized media smoothed over differences. Shared programs, shared headlines, and mass-market narratives created the appearance of one common culture. Averages hid the extremes, while smaller identities and subcultures remained largely invisible. Algorithms did not manufacture every preference from nothing. They observed what we paused on, reacted to, and shared—and amplified the most emotionally dense signals. What now looks like fragmentation may partly be higher resolution. The differences were already there. The algorithm removed some of the blur. Of course, algorithms are not neutral mirrors. Repeated amplification can also shape preferences, intensify conflict, and push people further toward the edges. But the strategic implication remains clear: Trying to appeal to everyone often produces a message that matters deeply to no one. The future belongs not to the loudest message, but to the one that understands its audience with the greatest precision. Mass appeal searches for the average. Meaningful engagement understands the edges. So the question is not simply: “How do we reach more people?” It is: Who exactly are we trying to reach—and why should they care? ShorterLongerFunnierRewrite

Hanjong lee @walterlee79

Video·1mo ago

Alex Kwon @startupoppa5939

Post·1mo ago

claude, figma, notion, gemini, grok

Taeho Lee @taeholee5185

Post·1mo ago

Claude Code is my main dev environment now. I've built a harness workflow on top of it that lets me prototype faster, and an automated testing framework that catches issues before they become problems. But the real win was creating a personal knowledge base to track tasks, progress, and what I actually learn from each project. It's become the connective tissue between how I code and how I think about what I'm building.