A downloadable guide reveals how finance teams can leverage the full capabilities of Copilot, offering actionable insights for builders targeting this niche. Useful for creating content, services, or products around Copilot optimization.
Finance teams think they're using Copilot
They are just using 5% of its capabilities
So I built something to fix that
Download the HD copy here:
nicolasboucher.online/top-100-copilo
โฆ
This curated list of AI prompts across various fields provides builders with ready-to-use tools that can enhance productivity and creativity, making it easier to leverage AI in their projects.
iโve curated a list of high-impact prompts used by professionals across 8 different fields for anyone to copy and use freely.
the prompts include:
coding (5 prompts):
> rug risk analyst (works best with gpt 5+)
> typescript type expert
> repository indexer
> refactoring expert
A free guide to mastering Claude Sonnet 4.6, including unique prompt strategies and 2000+ AI prompts. Builders can use this to improve their own AI products or create educational content for others.
Claude Sonnet 4.6 is the smartest Al right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Claude Mastery Guide:
โ How Claude thinks differently
โ Prompts built for Claude
โ 2000+ Al Prompts
Comment " Claude " and I'll DM it free.
A guide highlighting advanced AI agent skills now expected in interviews, such as multi-agent systems and observability. Builders can use this to upskill and stay competitive in the evolving AI landscape.
Stop learning AI agents the wrong way.
Most devs are stuck at: โข basic RAG
โข single-agent demos
โข copied LangChain tutorials
But interviews now expect: multi-agent systems, MCP, guardrails, observability, long-running agents.
This Agentic AI Systems Interview Q&A Guide
A step-by-step roadmap outlining the foundational skills needed to build production-ready AI agents. Essential for entrepreneurs aiming to upskill and create AI-powered products or services.
Complete AI Agent Developer Roadmap (From Zero to Production-Ready)
โ
โฃ Foundations of AI
โ โฃ Generative AI Concepts
โ โฃ Machine Learning Basics
โ โฃ Large Language Models (LLMs)
โ โฃ Prompt Engineering
โ โ Retrieval-Augmented Generation (RAG)
โ
โฃ
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AI agentsroadmapskillsfoundationslearning
sell a course/guide teaching itwrite a newsletter/blog about itskill building
A 60-minute YouTube tutorial on creating a local AI assistant, providing actionable steps for builders to develop custom AI tools that can be monetized or used to automate business tasks.
60-minute deep dive on how to build your own ๐น๐ผ๐ฐ๐ฎ๐น ๐๐ ๐ฎ๐๐๐ถ๐๐๐ฎ๐ป๐.
Enjoy โ
youtube.com/watch?v=6JEm1I
โฆ
A cohort-based challenge that guides participants through building and shipping an AI project in a weekend. Useful for builders seeking structured, hands-on experience and accountability to rapidly launch new products.
Ship in a weekend is live!
This is a guided shipping challenge where you get a guide to building with AI, you build alongside others, and a deadline that forces you to ship. This was one of the top voted ideas from my website, first cohort starts Friday
shipinaweekend.com
A curated list of essential GitHub repositories for learning AI engineering, providing foundational tools and frameworks that every AI builder should know. Mastering these can accelerate product development and open up new business opportunities.
5 BEST GitHub Repositories to Learn AI Engineering in 2026:
1. Awesome Machine Learning.
github.com/josephmisiti/a
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2. Full Stack Deep Learning.
github.com/full-stack-dee
โฆ
3. LangChain.
github.com/langchain-ai/l
โฆ
4. LlamaIndex.
github.com/jerryjliu/llam
โฆ
5. Hugging F
This tweet promotes a course teaching advanced, in-demand data science and AI skills (like RAG and ML app deployment) that can help builders move beyond dashboards to higher-value, higher-paying work.
If you want to make $200k as a data scientist, stop making dashboards.
Start doing:
โข Python daily
โข Data to actionable decisions
โข Deploy an ML app
โข Add RAG
โข Add AI DS agent
Need help?๏ฟผ
This is how:
learn.business-science.io/ai-register
LangChain has released a comprehensive, open source RAG course with 18 Jupyter notebooks and a YouTube playlist, covering all major RAG techniques. Builders can quickly level up their retrieval-augmented generation skills for future product or service opportunities.
LangChain open sourced a complete RAG course - 18 notebooks, a full YouTube playlist, and implementations of every major RAG technique from the research papers.
It's called RAG From Scratch. And it's not a tutorial blog post.
It's a structured set of Jupyter notebooks that
A senior Google engineer has published a comprehensive, code-backed 421-page guide on advanced AI system design patterns, covering topics like prompt chaining, multi-agent coordination, and guardrails. Builders can leverage this to rapidly level up their AI product development skills.
A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns.
Every chapter is code-backed and covers the frontier of AI systems:
โ Prompt chaining, routing, memory
โ MCP & multi-agent coordination
โ Guardrails, reasoning, planning
And itโs free.๏ฟผ
Anthropic has released 13 free AI courses, including certificates, aimed at helping users build foundational and advanced AI skills. Builders can quickly upskill or create content around these resources to attract an audience.
Breaking: Anthropic just launched 13 FREE AI courses with certificates
Here's every course, organized by who should take it
For anyone starting with AI:
1. Claude 101
lnkd.in/dZcGAhHE
2. AI Fluency: Framework & Foundations
lnkd.in/d9ga4Q5C
For
A free YouTube masterclass shows how to build a production-ready data engineering pipeline on AWS using just 14 essential services. Builders can quickly level up their cloud skills to create scalable, automated systems for future projects.
AWS has 200+ services. You need 14.
I built a production pipeline using just these.
I just dropped a FREE ๐๐ช๐ฆ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ฐ๐น๐ฎ๐๐ on YouTube.
A full end-to-end data engineering project on AWS โ from zero to production pipeline.
Here's what you'll learn:
๐๐น๐ผ๐๐ฑ
Anthropic has released a free course on Claude Code, created by the team behind the tool. Builders can quickly upskill in Claude Code without paying for expensive courses, accelerating their ability to leverage this tech in projects.
BREAKING: Anthropic just launched a FREE course on Claude Code.
Now you don't have to spend 2000$ on courses to learn Claude code.
It's called "Claude Code in Action" and it's built by the exact team that created Claude Code itself.
Here's everything you get for $0:
โ How
A YouTube tutorial breaks down 30 core concepts of Claude Code, showing non-coders how to use AI agentic workflows to build functioning applications. This lowers the barrier for entrepreneurs to automate and prototype new products.
Technical barriers to building software are disappearing. This AI automation tutorial (on YouTube) breaks down 30 core concepts of Claude Code for non-coders, showing how to go from a simple prompt to a functioning application.
It covers how to use an AI agentic workflow to
Anthropic released 13 free, self-paced AI courses (with certificates), offering builders a fast, no-cost way to upskill on Claude and AI fundamentals. Useful for entrepreneurs looking to quickly level up or credential themselves in AI.
Anthropic just launched 13 FREE AI courses (with certificates).
No paywall. No subscription.
Self-paced. Official certs.
Just sign up โ
anthropic.skilljar.com
Here are all 13
FOR EVERYONE โ AI Fluency Track
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency:
A practical guide to quickly improving AI-generated designs, helping builders turn low-quality outputs into more polished results. Useful for anyone looking to enhance the visual appeal of their AI products or content.
We've achieved desloppification internally
If you wanna know how to turn any AI slop design into something passable in just a few minutes, check out the desloppification guide - now live on the
@shipstudio_app
channel
youtu.be/qhJXv8x7f98
Anthropic is offering full AI courses and real certifications for free, enabling builders to quickly upskill in Claude and AI usage. This is a valuable opportunity to gain credentials and practical knowledge at zero cost.
If you're serious about learning how to use AI professionally (especially Claude)
Check out these AI courses from Anthropic
> full courses.
> real certifications.
> $0.00 cost.
Totally FREE, letโs cook
Anthropic has released 13 free AI courses with certificates, offering foundational and advanced knowledge for anyone looking to upskill in AI. Builders can leverage these to quickly level up or credential themselves for new opportunities.
Breaking: Anthropic just launched 13 FREE AI courses with certificates
Here's every course, organized by who should take it
For anyone starting with AI:
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency: Framework & Foundations
anthropic.skilljar.com/ai-fluen
A deep dive into neural network interpretability research by Chris Olah and team, offering foundational insights for builders aiming to create more transparent and trustworthy AI products.
People interested in model interpretability check out this gold.
The "Circuits" Thread
A series of exploratory research by Chris Olah himself and team when he was with OpenAI around 2020-2021.
Circuits are sub-graphs of the network, consisting a set of linked features and the
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This tweet highlights the importance of selecting the correct loss function for AI models, which is crucial for building effective, automated products. Understanding loss functions helps entrepreneurs create more accurate and reliable AI-powered income streams.
A loss function is your model's compass.
If the compass is off, the model will never reach its destination. Whether you're dealing with regression, classification, or imbalanced data, picking the right loss is critical.
Check out this deep dive into 5+ essential loss
Anthropic is offering free AI courses, providing a solid entry point for entrepreneurs to quickly upskill in AI fundamentals. This resource can help builders gain the knowledge needed to create or improve AI-powered products.
This is your first step to learning AI. Check out Anthropicโs free courses.
anthropic.skilljar.com
A thread of high-impression articles on DevOps, including how to monetize quickly and a free 2026 DevOps guide. Useful for builders seeking to upskill or replicate monetization strategies.
Posted 10 articles so far, total impressions 170k+
If you want to go through them, you can check out:
โ How I got monetized in one month:
x.com/devops_nk/stat
โฆ
โ Ultimate Guide to Learn DevOps in 2026 (Free):
x.com/devops_nk/stat
โฆ
โ Kubernetes Architecture
Event covering real-world implementations of Generative UI, including AG-UI and MCP ecosystems, with live demos and expert talks. Useful for builders seeking to understand current trends and practical applications in generative interfaces.
Generative UI Night II
TONIGHT at
@WorkOS
SF
Weโll be breaking down how Generative UI is actually being implemented today, with deep dives into the AG-UI and MCP ecosystems, plus live demos from the community.
Speakers:
1. The Evolving Generative UI Landscape -
@ataiiam
,
Breaks down the difficulty of key skills for building AI agents, from prompt writing to using frameworks and managing memory. Useful for entrepreneurs to identify which skills to master or outsource when building automated AI products.
AI Agents - Difficulty Breakdown
Prompt writing - Easy
โ Writing something that โworksโ
Using frameworks (LangChain, LlamaIndex) - Medium
โ Connecting LLMs, tools, basic flows
Memory & context handling - Medium
โ Managing state across steps
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AI agentsskillsframeworksautomationLLMs
sell a course/guide teaching itoffer it as a serviceone-time
A walkthrough synthesizing Harness mental models, LangChain/Anthropic/OAI research, and practical examples. Useful for builders seeking to deepen their understanding of AI orchestration and harnessing techniques.
nice walkthrough from Akshay bringing together Harness mental models from our blogs + research artifacts at LangChain, Anthropic/OAI write ups, examples from perplexity
โif youโre not the model youโre the harnessโ
i had many back and forths writing this, can be coarse
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AI frameworksmental modelsLangChainresearchbuilder mindset
This tweet highlights @rasbt's book and content on building LLMs from scratch, offering a comprehensive resource for entrepreneurs to understand and potentially create their own AI models. Mastering these internals can unlock new product or service opportunities.
If you're interested in getting into the internals of how the current breed of LLMs work, check out
@rasbt
's excellent content.
His book Building an LLM from Scratch is fantastic, and he puts out lots of other high-quality content.
A YouTube tutorial demonstrates building a self-evolving memory system for coding agents, inspired by Karpathyโs architecture. Builders can learn to prevent context loss in AI workflows, a key skill for robust automation products.
This AI agent tutorial (on YouTube) shows how to build a self-evolving memory system that prevents your coding agents from losing context when a session ends.
Inspired by Andrej Karpathyโs "compiler" architecture, this AI automation workflow turns raw conversation logs into a
A guidebook on building production-ready AI agent systems using proven architectures and tools like LangChain. Useful for builders seeking to level up their agent automation skills for future product or service offerings.
30 Agents Every AI Engineer Must Build โ Build production-ready agent systems using proven architectures and patterns:
amzn.to/41ckg6z via
@PacktDataML
โ
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
A new web designer shares their process of building a full SaaS landing page for an AI writing tool using Figma and Framer, including a design system and mobile version. This is a practical example for builders looking to quickly prototype and launch AI product sites.
I've been learning web design for 3 weeks.
Here's what I built:
A full SaaS landing page for a fictional AI writing tool (Figma + Framer).
Complete with design system, component library, hover states, scroll animations, copy, and a mobile version.
Everything from scratch:
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web designSaaSlanding pageFigmaFramer
sell a course/guide teaching itoffer it as a serviceone-time
A curated GitHub repo and free newsletter offering daily AI tutorials and practical use cases, helping builders stay updated and discover actionable AI tools and strategies.
Repo:
github.com/mnfst/awesome-
โฆ
If you want more practical AI gems and use cases, join our free newsletter with daily tutorials and latest news in AI:
simplifyingai.co
AlphaSignal.ai offers daily summaries of top AI models, repos, and papers, helping builders stay updated on the latest trends and tools in the AI space. This resource can inform product ideas and keep entrepreneurs ahead of the curve.
Thanks for reading!
Follow
@AlphaSignalAI
for more content like this.
Check out
AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs.
A practical prompting framework to help creators brainstorm AI-powered game ideas. Useful for builders seeking inspiration or structure for their next project.
Stuck on what game to make with AI?
Here's a prompting framework that actually works.
This tweet highlights a paper comparing single-agent and multi-agent LLM approaches for multi-hop question answering, helping builders understand which architecture may be more effective for complex AI tasks.
Do you really need multi agent systems, or just better single-agent LLMs? Check out this paper, where
@dattranm
tries to tackle that question for multi-hop question answering. Really great job!
A live session on building the NSTG dataset, offering insights into dataset creation workflows. Useful for builders looking to level up their data engineering skills or create their own datasets for AI products.
I'll be sharing how I built the NSTG dataset on Datum Africa this Saturday by 5pm. Link to register:
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datasetAItutorialDatum Africadata engineering
write a newsletter/blog about itsell a course/guide teaching itskill building
Bitdefender Labs reveals how a fake Windsurf extension hides its true behavior, highlighting key security checks before installing browser add-ons. Builders can use this insight to educate audiences or improve their own extension vetting processes.
Bitdefender Labs investigated a fake Windsurf extension that hid its real behavior until after installation. See how it works and what to check before installing extensions:
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securitybrowser extensionsmalwareeducation
write a newsletter/blog about itmake a YouTube video about itad revenue
This tweet explains how the apiVersion field in Kubernetes YAML files determines how resources are handled. Builders working with AI infrastructure or deploying automated apps can use this foundational knowledge to avoid deployment errors and streamline DevOps.
ANSWER
apiVersion tells Kubernetes how to read and understand your YAML file
When you create a resource, Kubernetes first looks at apiVersion to know how to handle it correctly.
It answers 3 important questions:
1 - Who handles this resource?
apiVersion tells Kubernetes which