AI and tech Educator – Build better and faster using AI and No-Code – https://t.co/8iUvV0ABgy founder
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May 29 • 4 tweets • 2 min read
DeepSeek has just released a powerful new 8B model 🔥
This means you can run it locally and for free on a laptop with zero limitations.
You just need LM Studio and 4Gb of RAM.
The few quick steps below:
1. Download LM Studio (free)
Go to and download the version for your OS.
Available for:
- Windows (x86/ARM)
- macOS (M series)
- Linux lmstudio.ai
May 16 • 5 tweets • 2 min read
This AI agent is a powerful data analyst
It can search, process, complete and visualize your data in a single chat.
You can import files or start from scratch.
Step-by-step process with Genspark:
1. Import or search data
Go to and select “AI Sheets”.
You can either :
- Import your files
- Search for data
In the 2nd case, the agent aggregates and formats the data according to your criteria. genspark.ai
May 3 • 5 tweets • 2 min read
Google has quietly released AI tools for language learning
You can access these 3 tools for free:
1. Find vocabulary for any situation 2. Learn idioms from a generated conversation 3. Talk to the camera about your surroundings
Details and access:
1. Tiny Lesson
Choose your language and a situation.
Gemini will then generate customized vocabulary, phrases and tips for you to listen to and learn.
May 1 • 6 tweets • 3 min read
AI Agents are becoming extremely capable
Among other things, in a single prompt you can:
- Search for information
- Compile insights
- Create visuals
- Generate slides
Genspark’s Super Agent manages all the tools by itself.
(More below)
You can use several agents for a single request.
Go to the "All Agents" section of :
→ Deep Research
→ AI Slides
→ Call For Me (yes!)
→ Agentic Fact Check
→ Agentic Data Table
I'll show you a few combos possible using @genspark_ai ↓ genspark.ai
Apr 23 • 8 tweets • 3 min read
Anthropic has released a full guide on agentic coding
There are 6 points to maximize the efficiency of Claude Code and LLMs to build.
Everything you need to know below
(And link to the official blog post) 1. Customization & optimization
- Create CLAUDE .md files to document workflows, commands, and coding conventions.
- Curate a list of allowed tools for more efficient automation.
- Install the GitHub CLI for better GitHub integration.
Apr 21 • 9 tweets • 3 min read
ChatGPT o3 and canvas is a builder's dream
You can create a complete web app with a backend and deploy it.
The whole workflow takes less than 5 minutes, here are the steps: 1. Prepare the prompt
I use my GPT "Prompt Enhancer" to save time.
It transformed my basic prompt into a much more complete prompt so that o3 could one-shot the app.
(You can get it for free below)
Prompt:
"You're a senior front-end developer with experience in building productivity tools using vanilla JavaScript and browser-based storage. Create a single-file web application that serves as a "Prompt Organizer" to help users save, edit, delete, and categorize AI prompts directly in the browser without any external dependencies. Use only HTML, CSS, and JavaScript, and store data persistently using localStorage or IndexedDB to ensure saved prompts remain available across sessions. Each prompt should include fields such as title, description, tags, and the full prompt text. Users should be able to filter prompts by tags, search by keywords, and sort by date created or modified. Include example prompts to populate the organizer on first load. Structure the code so it’s readable and modular within the single HTML file, using internal