SlidesAI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

SlidesAI AI

We're running an online 4-week hackathon series with $4,000 in prizes, open to all skill levels!

Most hackathons reward presentations. Polished slides, rehearsed demos, buzzword-heavy pitches. We're not doing that. The Locus Paygentic Hackathon Series is 4 weeks, 4 tracks, and $4,000 in total prizes. Each week starts fresh on Friday and closes the following Thursday, then the next track kicks off the day after. One week to build something that actually works. Week 1 sign-ups are live on Devfolio. The track: build something using PayWithLocus. If you haven't used it, PayWithLocus is our payments and commerce suite. It lets AI agents handle real transactions, not just simulate them. Your project should use it in a meaningful way. Here's everything you need to know: Team sizes of 1 to 4 people Free to enter Every team gets $15 in build credits and $15 in Locus credits to work with Hosted in our Discord server We built this series around the different verticals of Locus because we want to see what the community builds across the stack, not just one use case, but four, over four consecutive weeks. If you've been looking for an excuse to build something with AI payments or agent-native commerce, this is it. Low barrier to entry, real credits to work with, and a community of builders in the server throughout the week. Drop your team in the Discord and let's see what you build. discord.gg/locus | paygentic-week1.devfolio.co submitted by /u/IAmDreTheKid [link] [comments]

Is ChatGPT changing the way we think too much already?

Back in the day, I got ChatGPT Plus mostly for work and to help me write better and do stuff faster. But now I use it for almost everything. Like planning things, rewriting things, orgnizing my thoughts, helping me start things when I didn't know where to begin, and even just when I feel mentally tired and don’t want to think so hard, which is kinda becoming more frequent. It helps a lot.. Like a lot a lot. Sometimes I honestly wish it would help me in car repairs, but I guess that's too much in the future lol. I feel way more productive now than I used to be. I get through work faster, I don’t get stuck as much (though sometimes when the context windows shrinks or content gets truncated, quality feels off directly), and I waste less time sitting there overthinking dumb stuff. Between ChatGPT, Claude, and a couple smaller tools I’ve tried, I’ve noticed my whole workflow feels smoother now. I am literally hooked to ChatGPT + Bearbits + Claude Cowork for my work, like I couldn't imagine myself without them (though I'm on ChatGPT Pro + all the other subs that kinda bleed too much money, roughly $350 per month, but the good thing is that I can afford it for now).., AI in general is becoming part of how I think through work now, like slightly panicking when I am *outside* without my meeting transcript app and people ask things that I usually just let AI answer based on my past meetings in literally one click, or when someone asks me to do a presentation without preparing my script beforehand with ChatGPT, or like even the boring things of creating powerpoint slides... This is what kind of worries me. :/ I can feel myself depending on AI more and more., even for small things that maybe I should still be doing with my own *little, not AI-native* brain. Like how to start writing something, how to structure an idea, how to word a message, or even just how to think through something when I feel lazy. And I keep wondering like what does this actually do to us long term? Like for us as humanity overall.. Because yes, it makes life easier. Yes, it makes me more productive. But is it also making usthink less? And if it is, what does that mean for our brains after years of this? What happens if we get too used to not struggling mentally anymore? Like how will 2040 people look like, assuming that we didn't nuke ourselves... I’m not saying AI is bad. I actually love it and use it all the time now. I’m probably already more dependent on it than I want to admit. If it disappeared tomorroow I would feel the difference instantly. I guess we did feel a taste of this when the GPT-4o model disappeared.. I just keep thinking maybe this is helping us a lot, but maybe it’s also changing something deeper in us too. Like not only how we work (which is probably gonna be a fun ride in the upcoming years:)), but how we think, and maybe even how we find meaning in doing things ourselves. PLEASE tell me we are not doomed.. submitted by /u/SuddenWerewolf7041 [link] [comments]

is AI making us better thinkers or just faster workers

I've been using claude daily for about 8 months now and something has been nagging at me that I want to talk about. when I first started using it I was genuinely thinking more, I'd use claude to challenge my assumptions and explore angles I hadn't considered and stress test ideas before committing to them, it felt like having a thinking partner that made my actual reasoning sharper. lately though I've noticed a shift in myself that I don't love, I've started going to claude brfore even I think instead of after, like I'll get a new project at work and instead of sitting with it for a while and forming my own perspective first I'll immediately open claude and say "here's the situation what should I consider" and whatever it gives me becomes the starting framework I work within. The difference is subtle but it matters, in the first version I'm using AI to refine thinking I've already done, in the second version I'm outsourcing the initial thinking entirely and just editing what comes back and those are very different cognitive processes even though the output might look similar. I noticed it most clearly last week when I was doing research for a client project, I had claude pull together an analysis and I was about to send it and then I stopped and asked myself do I actually agree with this or am I just sending it because it sounds smart and I didn't have to think hard to produce it and I genuinely couldn't tell which one it was and that scared me a little. I think there's a version of using claude that makes you sharper and a version that makes you lazier and the line between them is just whether you're thinking first and using AI to go further or skipping the thinking entirely because the AI can produce something passable without it. I do a lot of creative work too, video stuff for clients where I use midjourney for concepts and kling, magic hour and runway for motion references, and I see the same pattern there, when I have a clear creative vision and use the tools to execute it faster the work is great, when I open the tools with no vision and just see what comes out the work is mediocre even though it looks polished. curious if anyone else has caught themselves making this shift and whether you've found a way to stay on the "better thinker" side instead of sliding into the "faster worker" side because I think it's one of the most important questions about how we use these tools and nobody's really talking about it submitted by /u/Major_Cable_8079 [link] [comments]

I am fully blind, and this is why Claude is changing my life.

So, I want to tell you about my experience with Claude. Firstly, I am fully blind. i am telling you this because this is the main reason why Ai has such an incredible impact on my life. I have been a tech user since I were a small child. Building small apps and programs, because back then, accessibility was, as today, hardly existing in the sense that you would expect from modern life. Granted, today is much better, but I had to learn a little bit of coding to try and help myself. Even though I am blind, I have been blessed with an abled body and mind, and as such, technology has always interested me. My professional life has been as an IT consultant for blind and visually impaired people, as well as a consultant on digital accessibility for large organizations. Therefore, when Open AI took the world with storm, I were naturally among the many first people to check this out. And well, what a game changer. yes, it was nice making chatgpt make funny texts and such, but I knew that it would ,and could really help me. Fast forward, suddenly it was able to recognize images. Say what? Now I, as a blind person, could have an image analyzed and described to me in great detail. More than often better than my sighted friends could. Time flew by, and suddenly, this new AI called Claude came to the public. I experienced much better coding, better responses, and over all a better interaction. it took a while for Claude to catch up to Chatgpt in terms of image descriptions, but a few years later, I had a tool in my hands that were powerful. Not just like: "Wow, cool, I can have it help me write my mails", "Wow cool, it can help me debug my code". no, this was more like: "Holy hell. I can have it describe images to me", "Incredible! It can create a slide show for me for my presentation at Microsoft". The best of it all, it makes my life easyer, better, more fulfilled. I run a small consultancy business. I can build small apps and programs that really help me. An example, a price calculator. before: -Customer sends a request for a 3d print. -I have to open the file in a completely inaccessible slicer to get the different values I need to calculate an offer. -Then, I had to type the values into excel. -Then read the results from Excel. -Then try to create an offer that looked okay and made sense using word. -Then open outlook, write a mail, attach the offer, and send it. This is something that took up to 30 minutes to do. Then, I created a small app using claude code. With this app, I can import the 3d file into the app, and it will automatically do all of the above for me, literally. This takes about 3 to 5 minutes. Time management can also be a challenge. using Siri that works most of the time, but once it becomes complicated, you have to add a location, you have to write some notes, then it becomes time consuming. I am now building an app on my iphone that can automate all of this for me. From image description to document creation, coding and app development, using Claude code along with agents, Claude is giving me every day independence like I could only dream about. For me, AI really has the potential to give me a place in this world on the same level as sighted people and non-disabled people. Hell, I have even been recognized in publications such as Hackster, 3D printing industry, and Hackaday for my, what they call, innovative 3D design method. Quite frankly, I wish that AI tools such as Claude, ChatGPT and others would become free of charge for blind people. Not because we are entitled to it, but because it is a substitute for sight. Anyway, for those of you who got this far through my thoughts, thank you for reading along, and I hope you use AI productively. submitted by /u/Mrblindguardian [link] [comments]

I built a product explainer video (with VO and assets) with Friday (read more)

And I used the platform to create ITS OWN product explainer video. The whole process took no more than an hour. What I did was: gather the assets, prompt it to create selective slides, write a script that narrates the whole thing well, and add transitions. And add the voice-over (ElevenLabs API integration). As you can see later in the video, it all came along pretty well. And oh, the assets of the video aren't 'AI-generated' images, but real graphics and data presented professionally, which Friday AI managed. What are your thoughts? submitted by /u/One-Problem-5085 [link] [comments]

As a developer, I need deterministic tools: that’s why I built AWF CLI

My work on AWF (AI Workflow Framework) continues since my last post. I’ve launched a small one-page website and released v0.5.0, which introduces plugin support with go-plugin, Protobuf, and gRPC. Recently, I also gave a lightning talk at a French conference. I put together 20 slides during a break and had 7 minutes to present AWF. I’ve discussed about AWF with many people, focusing on a common problem we face as developers: AI is currently not reliable enough to meet our standards. Simply saying "I ran the tests" or "I ran the linter" isn't sufficient. We need to be 100% certain that those tests and linters are effective. The true power of AWF lies in how you leverage your CLI tools and manage AI agents/LLMs to enforce workflows. It is the opposite of a 'Claw' because, as developers, our workflows need to become a CI/CD for our prompts. For example, running a TDD (Test-Driven Development) loop consists of three prompts where each iteration is validated by tests and linters. Because these operations are executed in dedicated steps using deterministic tools with a fail-fast approach, your workflow may be slower, but the results will be significantly more reliable than just using 'Claude' on its own. The next version will focus on leveraging workflows because I want to build something highly efficient with a strong emphasis on community and user experience. submitted by /u/pockystarfr [link] [comments]

Claude keeps messing up my floor plan—how are people using it for interior design?

I am moving into a new apartment and trying to use a Claude Project and having a lot of trouble. I'm trying to create a clean floor plan / layout map of the apartment so I can then experiment with furniture + decor layouts. What I’ve tried so far: Uploading photos of the apartment → completely wrong layouts Giving a detailed written description of the layout → still wrong Iterating and correcting mistakes step-by-step → still wrong Literally drawing a floor plan myself (in Google Slides) and uploading that → still totally wrong The main issue is: The model keeps reconfiguring the space incorrectly (e.g., bending hallways that are straight or vice versa, placing rooms in the wrong order, etc.) Even when I explicitly correct it, it doesn’t reliably “lock in” the spatial logic At this point I’m confused because I feel like I’m giving Claude the answer, and it still can’t reproduce it faithfully. A few questions: Has anyone else run into this with Claude or other AI tools? Is this a known limitation with spatial reasoning / floor plan interpretation? Are there any workarounds that actually work? I was hoping this could be an end to end interior design assistant project for me, that could create a scaled map (once i give it dimensions), and then iterate on furniture + layout ideas, and then actually testing out different interior design decor/vibes (i'm a visual learner so it's super hard for me to conceptualize what something would look like in a space without seeing it and I thought Claude could be useful for this effort). Any help would be much appreciated! Trying to figure out what I'm doing wrong and learn from it (or if there are some fundamental limitations to Claude in this regard and how to work around). Also, if anyone has successfully done interior design with Claude would love to learn tips and tricks! Thanks! submitted by /u/Admirable-Seaweed-56 [link] [comments]

claude for courses?

I am using for some time AI for creating complete course material in computer science. my inputs are: - the competencies required to learn by the school authorities, - the course book used as the base learning material and - how many course days ( I call it block) this course shall have and how many lessons there are per course day/block. The expected output: - a concept matching the competencies given - a lessons plan, what is done when - slides per lesson based on a didactic model with detailed speaker notes, diagrams in mermaid or plantuml - exercises for the students per block - a step-by-step plan per block for the teacher - master solutions for exercises and assignments - at least 2 exams during the course As the LLMs produce text mainly i used this setup/workflow: quarto/pandoc to convert text into slides and inline text/code for the plantuml diagrams. all documents in markdown, again text based. Has anybody done something similar using Claude AI as I understood so far it is used mainly for coding. My main challenge is currently the tokens. I'm running out of them too quickly. I have agreed with him some rules to reduce his output when not necessary. It tends to output things again and again that eats up Tokens. Notabene: with him in talking about a competing AI, not Claude. hence my question: if there is experience with Claude? Any contribution is appreciated. thanks Mike. submitted by /u/don-it-n1 [link] [comments]

OpenAI is in big trouble

Promised adult mode - now shelved. Launched Sora video generator, landed Disney deal - ended Sora 100 days later. Announced Stargate project - cancelled one year later. Altman once called Al + ads a "last resort" - 16 months later launched ads. Launched in-app shopping with direct checkout - now cancelled. Promised first hardware device this year - now delayed to 2027 per court filings. The only things they still have left are a chatbot (Gemini and Grok are on the path to beat ChatGPT there) and a coding tool (Anthropic is already beating OpenAI there). So after both ChatGPT and Codex slide into irrelevance, nothing will be left. How soon does it happen, what's your bet? Link to the article: https://www.theatlantic.com/technology/2026/03/sora-openai-identity-crisis/686544/ submitted by /u/Alex__007 [link] [comments]

Improving Claude Code usage in a dev team, feedback welcome

Hi all, I’m preparing a short internal presentation about Claude Code best practices, and I’d love feedback from people who actually use it daily. Context: We’ve been experimenting with Claude Code for a few weeks in a dev team (mixed seniority). What I’m seeing is that most people use it very basically. They’re not really aware of things like model differences (Opus vs Sonnet), plan mode, workflows, etc. I tried to extract a simple, pragmatic workflow to help them get more value without overwhelming them. Here’s what I’m planning to present: 🔹 Core recommendations Use the right model Default to Opus for anything non-trivial Sonnet is fine for quick or simple tasks, but Opus is significantly more reliable for real dev work Follow a structured workflow Instead of jumping straight to code: Brainstorm or Interview Discuss the feature with Claude first Plan mode (very important) Always use it for non-trivial features Iterate on the plan until it’s solid Implementation Let Claude generate code from the validated plan AI Review Ask for a review in a fresh context Optionally use another model for a second opinion Human Review (mandatory) Always validate manually before merging 🔹 Additional tips Prompt wording matters Words like robust, production-ready, industry standards improve output quality Be aware of context limits It’s not infinite and has a cost, so keep things focused Claude is very strong at documentation Great for explaining codebases or generating docs Leverage CLI capabilities Git, GitHub or GitLab CLI, tickets, PRs, etc. Use skills for repetitive tasks Reviews, commits, refactors, etc. Parallel work via git worktrees Run multiple Claude instances on different branches Reduce hallucinations Ask it to say "I don’t know" Ask for assumptions or sources when planning 🔹 My 3 golden rules Always read what it produces Use Opus and Plan mode for real work Stick to a consistent workflow My question to you: Does this align with how you use Claude Code? Am I missing any high-impact but simple practices? Anything here you think is overkill for a general dev audience? Goal is to keep this simple, practical, and adoptable, not a 50-slide AI lecture 🙂 Thanks! submitted by /u/SMB-Punt [link] [comments]

The chat paradigm is holding you back. Here's what comes after.

Most people use AI like this: open a window, type a question, get an answer, close the window. Maybe copy the result into an email. Repeat. It feels advanced. But I think we'll look back on this stage the way we look back on using computers only for word processing. I've spent the past year moving beyond chat, and I think the limitations are more fundamental than most people realize. Three problems: 1. The content trap. Chat is built around producing text — emails, summaries, slide decks. But a document on your screen does nothing. It doesn't move anything forward until it's shared, discussed, acted on. When AI stops at content production, you don't eliminate your bottleneck. You just move it. 2. The memory problem. Yes, ChatGPT has memory. Claude has projects. But that memory is a black box. You can't read it, edit it, verify it, or share it. The memory belongs to the tool, not to you. When your context is locked inside a vendor's system, you've outsourced not just work, but self-knowledge. 3. Without you, everything stops. Chat is synchronous. You ask, it answers. Outside the conversation, nothing happens. The AI sits idle until you come back. So what comes after? For me, it was integrating AI into the systems I already use to organize my work. Claude Code connected to 12 systems — calendar, email, WhatsApp, CRM, invoicing, notes, task managers. Not through copy-paste, through live MCP connections. The AI doesn't just answer questions. It sees my work. It has context before I say anything. The shift isn't from one chatbot to a better chatbot. It's from AI as a tool you visit to AI as a layer that runs through your work. I wrote about this in more detail here: https://ajgulmans.substack.com/p/stop-chatting-start-doing (part 1 of a 3-part series). What's your experience? Are you still mostly in the chat paradigm, or have you found ways to go beyond it? submitted by /u/aj1973 [link] [comments]

I built a "rigor dial" for Claude Code - from "just do it bro" (0) to full devil's advocate (10)

I kept running into the same problem: for a quick typo fix, I don't need Claude questioning my life choices. But for architecture decisions, I actually WANT it to push back hard. So I made a simple slash command skill: /rigor Level Name What Claude does 0 Bro Zero questions. Just does it. 1-2 Chill Only warns if prod will literally break 3-4 Gentle Soft suggestions, mentions tradeoffs 5 Balanced Default behavior 6-7 Critical Challenges architecture, demands justification 8-9 Paranoid Edge cases, scalability, "what's the rollback plan?" 10 Dushnila "Why are we building this at all? Show me the data." In my native language we have a perfect word for level 10 - "dushnila" (душнила) - someone who suffocates you with questions and won't let anything slide. Every dev team has one. Now your AI can be one too. Same prompt, different levels: Me: "Let's add Redis to cache AI chat responses" Level 0: "Adding Redis client and caching. Done." Level 5: "Before I start — what TTL for cache? AI responses are contextual, same prompt can need different answers. Also Redis is new infra — Upstash or self-hosted?" Level 10: "Stop. What metric are we improving? Show me the data. Cache hit rate will be near-zero — chat is contextual by definition. Redis adds $30/mo and a new failure point nobody will monitor at 3am. Anthropic prompt caching already exists and costs nothing. Have users even complained about speed? Check PostHog before writing a single line of code." How I actually use it: - /rigor 0 — typo fixes, config changes, "just do the thing" - /rigor 5 — regular feature work - /rigor 8 — new services, anything touching auth or payments - /rigor 10 — "should we even build this?" — when I need the harshest critic in the room before committing to a direction It's just a markdown file — takes 30 seconds to install. I built it with Claude Code in ~15 minutes and honestly it changed how I work more than I expected. Turns out the right amount of AI pushback depends entirely on the stakes. GitHub: https://github.com/spyrae/rigor-dushno Also comes with /dushno — same thing in Russian, for the bilingual devs out there. submitted by /u/sand-pyramid [link] [comments]

create html slides with claude code skills and present in "powerpoint"

AI can create HTML Slides with simple prompt, text, file, or event a reference video now, I am not going back to PowerPoint~ html-slides is an Extended frontend-slides skill to provide component based advanced template, currently support 10+ component and more to add! It works the best with Claude code but also support stand agent skill so codex, gemini, copilot are all supported. Yes its basically a skill/plugin so you need to have the subscription. Apart from the html slides it also generate the speaker notes. AND a free presenter app just like powerpoint! Yeah I'm the kinda guy needing a speaker notes for presentation... The Skill and App is actively developed so appreciate any feedback. Thanks! Component supported: Title Slide Opening slide with headline and subtitle "Start with a bold title slide" Statement Bold single-statement emphasis "Add a statement: 'The future is now'" Flip Cards Interactive cards that flip to reveal detail "Show our 4 core values as flip cards" VS / Comparison Side-by-side feature comparison "Compare our Free vs Pro plans" Architecture Flow Multi-step process visualization "Show: Ingest → Process → Store" Code Block Syntax-highlighted code examples "Show the API auth code in Python" Auth Flip Compare Before/after auth flow comparison "Compare old auth vs new auth flow" Stats Cards Key numbers and metrics with labels "Show 247% growth, 12.4k users, 98.9% uptime" Expandable Cards Click to expand for more detail "List pricing tiers as expandable cards" Status Timeline Roadmap and milestone visualization "Show our roadmap from Q1 to Q4 2026" Table Structured data in rows and columns "Show feature comparison in a table" Chart 8 types via Chart.js (bar, line, pie, doughnut, radar, polar area, scatter, bubble) "Show monthly revenue as a bar chart" CTA Box Call-to-action closing slide "End with a CTA to book a demo" https://preview.redd.it/7wedzipflwqg1.png?width=2404&format=png&auto=webp&s=f627aea017b766e64ed5821ea91d376abc724d93 demo here submitted by /u/reddit-bluedusk [link] [comments]

AI agents speak Markdown, but viewing/sharing it is still broken. I built an open-source tool to fix that.

https://preview.redd.it/td0o562hikqg1.png?width=3440&format=png&auto=webp&s=d4fc35757ed334ddcabf95213666ba09871fe5a3 If you use AI agents heavily, your file system is probably full of .md files. Meeting notes, tech specs, architecture diagrams (Mermaid), etc. Sharing these beautifully usually means pasting into Google Docs (rip formatting) or signing up for a doc tool (rip privacy). I built MarkView to solve this. It’s a private-first rendering engine that works as a web app, a native macOS app, and most importantly, an MCP server. If you use Claude Desktop or Cursor, you can plug in the MarkView MCP and let the AI actually manage your documentation workspace — search across files, extract headings, validate links, etc. Key stats: 🔒 Zero accounts / Zero cloud / Zero telemetry. 🧜 Mermaid diagrams & KaTeX math rendered inline. 🎬 Presentation mode (turns headings into slides instantly). 📋 Export to PDF/Word/PPT. It's free and open source. Try it: https://markview.ai GitHub: https://github.com/abgnydn/markview submitted by /u/Entphorse [link] [comments]

Open Source Alternative to NotebookLM

For those of you who aren't familiar with SurfSense, SurfSense is an open-source alternative to NotebookLM for teams. It connects any LLM to your internal knowledge sources, then lets teams chat, comment, and collaborate in real time. Think of it as a team-first research workspace with citations, connectors, and agentic workflows. I’m looking for contributors. If you’re into AI agents, RAG, search, browser extensions, or open-source research tooling, would love your help. Current features Self-hostable (Docker) 25+ external connectors (search engines, Drive, Slack, Teams, Jira, Notion, GitHub, Discord, and more) Realtime Group Chats Hybrid retrieval (semantic + full-text) with cited answers Deep agent architecture (planning + subagents + filesystem access) Supports 100+ LLMs and 6000+ embedding models (via OpenAI-compatible APIs + LiteLLM) 50+ file formats (including Docling/local parsing options) Podcast generation (multiple TTS providers) Cross-browser extension to save dynamic/authenticated web pages RBAC roles for teams Upcoming features Slide creation support Multilingual podcast support Video creation agent Desktop & Mobile app GitHub: https://github.com/MODSetter/SurfSense submitted by /u/Uiqueblhats [link] [comments]