Changelog
Recently updated
What we've changed lately, freshest first. Use this page to see what's new without rereading the whole library.
- 136total pieces
- 8updated this month
- Aug 7, 2026last refresh
August 2026
8 entries- ConceptUpdated 6 days ago
Automation Tools Changelog — August 2026
Monthly AI automation platform updates for August 2026 — n8n observability, Zapier MCP GA, Dify SSO, and platform picks.
- ConceptUpdated 6 days ago
GitHub Repos Roundup — August 2026
Monthly roundup of AI open-source repos for August 2026 — LangGraph streaming checkpoints, Dify SSO, Crawl4AI PDFs, and install picks.
- ConceptUpdated 6 days ago
Model Release Changelog — August 2026
Monthly roundup of frontier model releases, pricing changes, and open-weight drops — GPT-5.2, Sonnet 4.7 500K context, DeepSeek V3.2 GA, Llama 4.2 multimodal, and what to do about each.
- Tool GuideUpdated 6 days ago
Braintrust Guide
The definitive guide to Braintrust for AI evals and observability — traces to experiments, GitHub Action CI, scoring UX, and when to pick Langfuse instead.
- Tool GuideUpdated 6 days ago
Zapier Guide
The definitive guide to Zapier for AI automations — integrations, AI by Zapier, Agents, MCP GA, pricing at scale, and when to pick Make or n8n instead.
- Case StudyUpdated 6 days ago
Case Study: Media Team Repurposes 12 Articles/Month into Podcast Episodes
How a content team used the AI podcast generator workflow to turn blog posts into two-host episodes — $2/episode, human listen before publish.
- Case StudyUpdated 6 days ago
Case Study: Consulting Firm Cuts Research Time 65% with Cited Briefings
How a 15-person strategy boutique shipped the AI research assistant workflow — sub-query planning, web search, and footnoted Markdown briefings for client work.
- Case StudyUpdated 6 days ago
Case Study: Analytics Team Clears Ad-Hoc SQL Backlog with a Read-Only Copilot
How a data team deployed a SQL analyst copilot on a read replica — plain-English questions, validated SQL, charts, and logged queries.
July 2026
10 entries- ConceptUpdated 5 weeks ago
Automation Tools Changelog — July 2026
Monthly roundup of AI automation platform updates for July 2026 — n8n, Zapier, Dify, Flowise, Pipedream, and practical picks.
- ConceptUpdated 5 weeks ago
GitHub Repos Roundup — July 2026
Monthly roundup of the most useful AI open-source repos — July releases, version bumps, and install recommendations for practitioners.
- ConceptUpdated 5 weeks ago
Model Release Changelog — July 2026
Monthly roundup of frontier model releases, pricing changes, and open-weight drops — Claude Opus 4.7 GA, GPT-5 Pro price cut, Gemini 2.5 Ultra, Qwen 3 family, and what to do about each.
- Tool GuideUpdated 5 weeks ago
Flowise Guide
The definitive guide to Flowise for visual RAG and agent prototyping — drag-and-drop chains, 2.0 templates, MCP nodes, and when to pick it over Dify or n8n.
- Tool GuideUpdated 5 weeks ago
LiteLLM Guide
The definitive guide to LiteLLM for multi-model routing — OpenAI-compatible proxy, fallbacks, cost tracking, and self-host setup for production AI apps.
- Tool GuideUpdated 5 weeks ago
Pipedream Guide
The definitive guide to Pipedream for developer-first AI automations — code steps, GitHub triggers, AI debugger, and when to pick it over n8n or Zapier.
- Case StudyUpdated 5 weeks ago
Case Study: 12-Person Startup Cuts PR Cycle Time with AI Review
How a seed-stage team added an AI code reviewer on every PR — blocking security patterns, surfacing nits, without replacing human approval.
- Case StudyUpdated 5 weeks ago
Case Study: Product Team Ships Weekly Competitive Briefings
How a B2B SaaS product team automated competitor tracking and delivered cited Monday briefings to Slack for $6/week.
- Case StudyUpdated 5 weeks ago
Case Study: One MCP Server, Three AI Clients
How an internal platform team wrapped their admin API as an MCP server — Claude Desktop, Cursor, and a custom support bot shared the same tools.
- Case StudyUpdated 5 weeks ago
Case Study: Ops Team Turns Meeting Recordings into Action Items
How a remote ops team automated meeting notes to structured action items in Linear — with owner, due date, and human approval before ticket creation.
June 2026
53 entries- ConceptUpdated Jun 2026
Agent Memory Explained
How AI agents remember context across sessions — short-term window, long-term stores, vector memory, and when you do not need memory at all.
- ConceptUpdated Jun 2026
AI Stack for Automation Engineers
The default tool bundle for building and operating AI automations — n8n, LiteLLM, Langfuse, Instructor, and a model routing strategy.
- ConceptUpdated Jun 2026
Local Privacy AI Stack
Run models and chat entirely on your hardware — Ollama, Open WebUI, Continue, and local RAG without sending data to cloud APIs.
- ConceptUpdated Jun 2026
RAG Stack Under $100/mo
A production-capable retrieval stack for startups and side projects — ingestion, embeddings, vector store, LLM, and observability without enterprise bills.
- ConceptUpdated Jun 2026
Automation Tools Changelog — June 2026
Monthly roundup of AI automation platform updates — n8n, Zapier, Make, Dify, Pipedream, and what changed for builders.
- ConceptUpdated Jun 2026
Browser Agents Explained
AI that controls a web browser — clicking, typing, scraping, and filling forms. Use cases, risks, and how it differs from API-based automation.
- ConceptUpdated Jun 2026
GitHub Repos Roundup — June 2026
Monthly roundup of the most useful AI open-source repos — new releases, major version bumps, and what practitioners are actually installing.
- ConceptUpdated Jun 2026
Human-in-the-Loop Automation Patterns
When to require human approval in AI automations — approval gates, review queues, selective auto-send, and the metrics that tell you when to loosen the loop.
- ConceptUpdated Jun 2026
Idempotency and Retries for LLM Workflows
How to retry failed LLM and tool calls without double-charging customers, sending duplicate emails, or corrupting agent state.
- ConceptUpdated Jun 2026
When to Use No-Code vs Code for AI Automation
A decision framework for n8n/Zapier vs Python/TypeScript — based on complexity, volume, team skills, and how often the logic changes.
- ConceptUpdated Jun 2026
Workflow Thinking for AI Automation
Map a process before you automate it — triggers, inputs, AI steps, human gates, outputs, and failure paths. The skill behind every successful automation.
- Tool GuideUpdated Jun 2026
Dify Guide
The definitive guide to Dify for low-code AI apps — RAG chatbots, agent workflows, MCP import, self-host vs cloud, and when to pick it over Flowise or n8n.
- Tool GuideUpdated Jun 2026
Langfuse Guide
The definitive guide to Langfuse for LLM observability — traces, prompt versions, evals, cost tracking, self-host setup, and when to pick it over Braintrust or Phoenix.
- Tool GuideUpdated Jun 2026
Make Guide
The definitive guide to Make (Integromat) for AI automations — routers, iterators, Claude modules, pricing, and when to pick it over Zapier or n8n.
- ComparisonUpdated Jun 2026
Dify vs Flowise vs n8n for AI
Three ways to build AI apps without writing a full backend — low-code platform, visual chain builder, or automation canvas. When to pick each.
- ComparisonUpdated Jun 2026
Instructor vs Pydantic AI vs Native Structured Outputs
Three ways to get typed JSON from LLMs — Python validation library, agent framework, or provider-native APIs. Pick by stack and complexity.
- ComparisonUpdated Jun 2026
Langfuse vs Braintrust vs Phoenix
Three observability options for production LLM apps — open-source tracing, eval-first SaaS, and RAG-focused OSS from Arize.
- ComparisonUpdated Jun 2026
Pipedream vs Zapier vs Make for AI
Developer-first code workflows vs integration breadth vs visual branching — where each automation platform wins for AI glue in 2026.
- ConceptUpdated Jun 2026
AI & LLM Glossary
Fifty essential AI and LLM terms defined in plain English — from agents and embeddings to RAG, RLHF, and vector databases. Your quick-reference cheat sheet.
- ConceptUpdated Jun 2026
AI in Customer Support (2026)
Intercom Fin's 50% resolution rate, Klarna's rollback lesson, Zendesk AI agents, and what actually works when LLMs meet angry customers.
- ConceptUpdated Jun 2026
AI in Legal (2026)
Harvey's $5B valuation, ABA's 2026 ethics guidance, contract review ROI, legal research copilots, and the real risks when LLMs draft filings.
- ConceptUpdated Jun 2026
AI Stack for Solo Devs ($50/mo)
A curated, link-heavy tool stack for one-person builders — coding agent, API access, automation, hosting, and observability under $50/month.
- ConceptUpdated Jun 2026
Chunking Strategies for RAG
Chunking is the highest-leverage decision in any RAG system. Get it wrong and no embedding model or vector DB will save you. Here's how to chunk by document type.
- ConceptUpdated Jun 2026
Guardrails & Output Validation
LLMs don't come with guarantees. Guardrails and output validation are how you enforce safety, structure, and policy on probabilistic outputs before they reach users.
- ConceptUpdated Jun 2026
LLM Cost Optimization
The operational playbook for cutting LLM spend without cutting quality. Model routing, caching, batching, and the metrics that actually matter.
- ConceptUpdated Jun 2026
LLM Observability in Production
You can't debug what you can't see. LLM observability means tracing every prompt, token, latency spike, and failure — here's the production stack.
- ConceptUpdated Jun 2026
Model Release Changelog — June 2026
Monthly roundup of frontier model releases, pricing changes, and open-weight drops — Claude, GPT, Gemini, Llama, Mistral, and DeepSeek. First edition of a recurring series.
- ConceptUpdated Jun 2026
Reranking & Hybrid Search
Embeddings alone miss exact terms. BM25 alone misses meaning. Hybrid search combines both, then a reranker picks the best. Here's how to build the retrieval stack that actually works.
- ConceptUpdated Jun 2026
Top GitHub Repos Every AI Builder Should Know (2026)
Fifteen open-source projects that cover 90% of what AI engineers actually install — agents, RAG, observability, routing, and local inference.
- ConceptUpdated Jun 2026
When NOT to Use AI
The honest guide to tasks where AI makes things worse, not better. Know when to skip the LLM and use a spreadsheet, a SQL query, or a human instead.
- Tool GuideUpdated Jun 2026
Gemini Guide
The definitive guide to Google's Gemini — app, API, 2M context, Workspace integration, Gems, multimodal video, pricing, and when to pick it over Claude or ChatGPT.
- Tool GuideUpdated Jun 2026
GitHub Copilot Guide
The definitive guide to GitHub Copilot — IDE completions, Copilot Chat, agent mode, CLI, PR features, enterprise policy, pricing, and how it compares to Cursor and Claude Code.
- Tool GuideUpdated Jun 2026
n8n Guide
The definitive guide to n8n for AI workflows — self-host vs cloud, agent nodes, LLM chaining, code escape hatches, and when to pick it over Zapier or Make.
- Tool GuideUpdated Jun 2026
Ollama Guide
Run LLMs locally with Ollama — install, model selection, hardware requirements, OpenAI-compatible API, and pairing with Open WebUI for a private ChatGPT experience.
- WorkflowUpdated Jun 2026
Build a Competitive Intel Monitor
A weekly agent that tracks competitors — pricing, features, launches, hiring, and positioning — and delivers a cited briefing to Slack or email.
- WorkflowUpdated Jun 2026
Build an MCP Server from Your API
Wrap your REST or GraphQL API as an MCP server so Claude Desktop, Cursor, and any MCP client can call it — write once, use everywhere.
- WorkflowUpdated Jun 2026
Meeting Notes to Action Items
Turn raw notes or a transcript into decisions, owned action items, open questions, and risks — then push to Linear, Jira, or Slack.
- WorkflowUpdated Jun 2026
PR Description from Diff
Turn a git diff into a reviewer-ready PR description — summary, changes, test plan, and risks — via CLI, Copilot, or a GitHub Action.
- WorkflowUpdated Jun 2026
Slide Deck from a Document
Turn a report, brief, or long doc into a structured slide deck outline — then paste into Google Slides, Canva, or PowerPoint with speaker notes.
- WorkflowUpdated Jun 2026
Build a SQL / Data Analyst Copilot
A copilot that turns plain-English questions into validated SQL, runs read-only queries, and returns charts plus plain-language answers.
- WorkflowUpdated Jun 2026
Build Support Ticket Triage + Draft Reply
An automation that classifies incoming tickets, routes them, pulls account context, and drafts replies your agents review before sending.
- ComparisonUpdated Jun 2026
Claude Code vs Cursor vs Codex
The three dominant AI coding agents compared on real work — agent loops, IDE integration, pricing, and which one to pick for your workflow.
- ComparisonUpdated Jun 2026
LangGraph vs CrewAI
An honest comparison of the two most popular open-source multi-agent frameworks — when graphs beat roles, and when CrewAI ships faster.
- ComparisonUpdated Jun 2026
Local Models vs API Models
Should you run LLMs on your own hardware or pay OpenAI and Anthropic? An honest comparison on privacy, cost, latency, quality, and the ops burden nobody talks about upfront.
- ComparisonUpdated Jun 2026
n8n vs Zapier vs Make for AI
An honest comparison of the three dominant automation platforms for AI workflows — integrations, agent nodes, pricing, and when to pick each.
- ComparisonUpdated Jun 2026
RAG vs Fine-Tuning vs Long Context
Three ways to make an LLM work with your data. When to retrieve, when to train, when to paste — and when to use none of them.
- Learning PathUpdated Jun 2026
AI Product Manager Roadmap
Ship AI features users trust — without pretending to be an ML engineer. An 8-week path for PMs who need to spec, evaluate, and launch AI products in 2026.
- Learning PathUpdated Jun 2026
MLOps / LLMOps Engineer Roadmap
Take LLM features from prototype to production — evals, observability, deployment, guardrails, and cost control. A 10-week path for engineers owning AI in prod.
- Case StudyUpdated Jun 2026
Case Study: SEO Agency Ships 200 Programmatic Pages in One Sprint
How a 4-person content agency used a batch AI pipeline with human review gates to deliver a client's programmatic SEO project — on deadline, without slop.
- Case StudyUpdated Jun 2026
Case Study: Solo Founder Cuts Email Time 70% with an AI Assistant
How a bootstrapped SaaS founder used a local email triage + draft pipeline to get mornings back — without auto-sending a single message.
- Case StudyUpdated Jun 2026
Case Study: Sales Team Replaces $18k/yr Enrichment with an AI Pipeline
How a 6-person outbound team enriched 2,000 leads/month with search + LLM — matching Apollo quality on hooks, at 1/10th the cost.
- Case StudyUpdated Jun 2026
Case Study: Support Ticket Triage + Draft Reply Automation
How a customer-support team auto-classified 2,000 tickets/day, drafted first replies for 60% of them, and cut median first-response time from 4 hours to 12 minutes.
- Case StudyUpdated Jun 2026
Case Study: RAG Docs Chatbot Shipped in 3 Weeks
How a 12-person B2B SaaS team shipped a cited docs chatbot that deflected 34% of support tickets — without hiring an ML team.
May 2026
53 entries- Tool GuideUpdated May 2026
Claude Code Guide
The definitive guide to Anthropic's terminal-native AI coding agent — install, configure, MCP, hooks, skills, sub-agents, plan mode, cost, security, limitations.
- Tool GuideUpdated May 2026
OpenAI Codex Guide
The definitive guide to OpenAI Codex — the codex CLI, Codex Cloud agent, IDE integrations, sandboxing, when to delegate vs run inline, and how it differs from Claude Code.
- Tool GuideUpdated May 2026
Windsurf Guide
The definitive guide to Codeium's AI-native IDE — Cascade agent, Supercomplete, MCP, sandboxes, memory, model picker, self-hosting, and how it really compares to Cursor.
- ConceptUpdated May 2026
AI Interview Prep Checklist (2 Weeks Out)
Final-stretch prep checklist for AI Engineer / ML Engineer interviews — what to study, what to practice, what to skip. Two weeks of focused work.
- ConceptUpdated May 2026
The AI Interview Process (What to Expect)
How AI Engineer / ML Engineer interview loops work in 2026 — stages, what each tests, time to offer, and how to prepare for each phase.
- ConceptUpdated May 2026
AI Job Roles Explained (2026)
The actual AI roles companies hire for — what each does, what they pay, who hires them, and which one you should target.
- ConceptUpdated May 2026
How to Break Into AI (2026)
A realistic path for career switchers, junior engineers, and recent grads to get hired into AI roles — what works, what doesn't, what takes how long.
- ConceptUpdated May 2026
Skills for an AI Engineer (2026)
What to learn for AI Engineer roles — the technical skills, the tools, the projects that signal capability. Organized by what to learn first vs later.
- Learning PathUpdated May 2026
AI Engineer Interview Prep Roadmap
Four-week plan to go from 'I know the basics' to 'ready for AI Engineer onsite loops at competitive companies.' Daily-deliverable structure.
- ConceptUpdated May 2026
AI for Business — Strategy, Adoption, and ROI
An honest framework for adopting AI in business — what's actually returning money in 2026, the 80% pilot-to-production failure rate, and the BCG 10-20-70 rule.
- ConceptUpdated May 2026
AI in Education (2026)
MagicSchool's 3M teachers, Khanmigo's reset, ChatGPT Edu's quiet dominance, the failure of AI detectors, and what's actually working in classrooms.
- ConceptUpdated May 2026
AI in Finance (2026)
JPMorgan's 500+ production AI use cases, FINRA's 2026 GenAI oversight, real fraud-detection ROI, and what 'agentic banking' actually means today.
- ConceptUpdated May 2026
AI in Healthcare (2026)
What's actually deployed in healthcare AI today — ambient scribes, clinical Q&A, imaging — vs. what's still experimental. Named products, real adoption numbers, regulatory landscape.
- ComparisonUpdated May 2026
Best AI Productivity Tools (2026)
An opinionated 2026 buying guide for individual + small-team AI productivity stacks. Named picks across writing, meetings, research, scheduling, automation, code.
- ConceptUpdated May 2026
AI vs Machine Learning vs Deep Learning
The four nested layers — AI ⊃ ML ⊃ Deep Learning ⊃ Generative AI — explained with concrete decision criteria for picking the right one.
- ConceptUpdated May 2026
Multimodal AI Explained
AI that processes text, images, audio, and video together. How multimodal models work, what they're good at, where single-modality still wins, and what's deployed in 2026.
- ConceptUpdated May 2026
Transformer Architecture Explained
The architecture that powers every modern LLM, image model, and AI agent — explained with worked examples, real numbers, and what it means for the systems you build.
- ConceptUpdated May 2026
What is Generative AI?
The umbrella explainer — what generative AI actually is, the four modalities, the economics behind it, and where the 2026 frontier has moved.
- ConceptUpdated May 2026
AI Bias Explained
What AI bias actually is, the real-world failures that defined the field, why it's mathematically harder than it looks, and what works to reduce it.
- ConceptUpdated May 2026
AI Ethics Explained
What AI ethics actually means in practice — beyond the principle-statements. Real incidents, current regulation, and what builders are responsible for.
- ConceptUpdated May 2026
AI Hallucinations Explained
Why LLMs make things up confidently — what causes hallucinations, why they're hard to fix, and the practical ways to reduce them.
- ConceptUpdated May 2026
AI Safety Explained
AI safety isn't sci-fi — it's the day-to-day work of preventing models from misbehaving. Here's the practical landscape, in plain language.
- ConceptUpdated May 2026
Context Engineering Explained
Prompt engineering is one input. Context engineering is everything around it — what you fetch, what you trim, what you remember, what you let the model see.
- ConceptUpdated May 2026
Evals Explained
Evals are the unit tests of AI systems. Without them you're flying blind. Here's how to build a useful eval set without going overboard.
- ConceptUpdated May 2026
Fine-Tuning Explained
When to fine-tune, when not to, and how to do it without burning weekend cycles. The honest version.
- ConceptUpdated May 2026
Function Calling Explained
Function calling is how LLMs trigger your code. Here's how it actually works under the hood, and how to design tools that the model uses correctly.
- ConceptUpdated May 2026
How AI Models Are Trained
From raw text to a chat-ready model — the four-stage pipeline behind every modern LLM. Pre-training, instruction tuning, RLHF, and the modern alternatives.
- ConceptUpdated May 2026
Structured Outputs Explained
Structured outputs make models return valid JSON every time — no more parsing failures, no more 'almost JSON.' Here's how they work and when to use them.
- Tool GuideUpdated May 2026
NotebookLM Guide
Google's source-grounded research notebook. Upload sources, chat with them, generate two-host audio overviews. Free and uncannily good.
- WorkflowUpdated May 2026
Build an AI Code Reviewer
An AI bot that reviews every PR — catches bugs, suggests improvements, blocks dangerous patterns. Like having a senior engineer on every team.
- WorkflowUpdated May 2026
Build an AI Content Batch Pipeline
Generate, edit, and publish 50+ pieces of content in one run — programmatic content production with quality controls and human-in-the-loop review.
- WorkflowUpdated May 2026
Build an AI Docs Chatbot
A RAG-powered chatbot that answers questions from your documentation with citations — the kind every SaaS site needs in 2026.
- WorkflowUpdated May 2026
Build an AI Lead Enricher
Take a raw lead list (name + email or company), enrich it with title, company, industry, signals, and personalization hooks — at scale.
- ComparisonUpdated May 2026
Best AI Coding IDE
Cursor vs Windsurf vs Claude Code vs Aider vs Continue vs Copilot. Which AI-native editor is best for what kind of work?
- ComparisonUpdated May 2026
Best AI Image Model
Midjourney vs Flux vs DALL-E vs Ideogram vs Imagen — which model produces the best images for marketing, concept art, and UI?
- ComparisonUpdated May 2026
Best Embedding Model
OpenAI vs Voyage vs Cohere vs open-source — which embedding model wins on quality, cost, and ecosystem in 2026?
- Tool GuideUpdated May 2026
Aider Guide
Open-source terminal coding agent. Brings AI pair-programming into git-tracked repos with surgical edits and built-in commits.
- Tool GuideUpdated May 2026
Continue Guide
Open-source AI coding assistant. Lives as an extension inside VS Code, JetBrains, or Cursor. BYO-model and full configuration control.
- Tool GuideUpdated May 2026
Replit Agent Guide
Replit's autonomous agent that builds, deploys, and iterates on full apps from a natural-language description. Best for prototyping in the browser.
- ComparisonUpdated May 2026
Cheapest AI APIs
Per-million-token cost comparison across providers, with notes on where the cheap models are actually good enough.
- ComparisonUpdated May 2026
GPT vs Claude vs Gemini
An honest head-to-head of the three frontier models — where each one wins, where each one loses, and what to pick.
- ComparisonUpdated May 2026
Best AI Model for Writing
Which model writes prose that doesn't read like AI? A look at voice, restraint, and which models you can actually trust with words.
- ComparisonUpdated May 2026
Best AI Model for Coding
Which model actually writes the best code? Benchmarked against real tasks — refactors, bug fixes, new features, code review.
- Learning PathUpdated May 2026
AI Agent Builder Roadmap
The path from 'I built a chatbot' to 'I built an agent that runs unsupervised.' For builders, not lurkers.
- Learning PathUpdated May 2026
AI Coding Roadmap
Become 3x more effective with AI in your daily coding loop. Aimed at working engineers.
- ConceptUpdated May 2026
Prompt Engineering Basics
The actual techniques that move the needle — role priming, structured output, few-shot examples, and why specificity always wins.
- WorkflowUpdated May 2026
Build an AI Research Assistant
A research agent that takes a question, searches the web, reads sources, and produces a cited briefing.
- Learning PathUpdated May 2026
AI Automation Engineer Roadmap
Become the person who turns manual workflows into AI-powered automations. Highly hireable, instantly useful.
- Learning PathUpdated May 2026
AI Creator Roadmap
For writers, YouTubers, podcasters, and indie creators. Use AI to do more, better, faster — without becoming AI slop.
- WorkflowUpdated May 2026
Build an AI Podcast Generator
Turn any article, paper, or transcript into a multi-voice podcast episode with natural-sounding hosts.
- Learning PathUpdated May 2026
AI Beginner Roadmap
Zero to genuinely capable. The path I'd give my smart non-technical friend who wants to actually use AI well.
- ConceptUpdated May 2026
AI Agents Explained
Agents are LLMs that can take actions in a loop. Here's what that actually means, where they shine, and where they fall over.
- WorkflowUpdated May 2026
Build an AI YouTube Shorts Generator
An end-to-end pipeline that turns a single topic prompt into a finished 30-second vertical video with voiceover, captions, and B-roll.
April 2026
12 entries- Tool GuideUpdated Apr 2026
Cursor AI Guide
The most popular AI-native IDE. A VS Code fork with deep model integration, multi-file edits, and a strong agent loop.
- ConceptUpdated Apr 2026
RAG Explained
Retrieval-Augmented Generation is how you give LLMs access to your own data without retraining them. Here's how it actually works.
- Tool GuideUpdated Apr 2026
ChatGPT Guide
The most popular general-purpose AI chatbot. Strong all-rounder with a huge ecosystem of plugins, custom GPTs, and integrations.
- WorkflowUpdated Apr 2026
Build an AI Resume Optimizer
A tool that takes a resume and a job description, scores the match, and rewrites the resume tailored to the role.
- ConceptUpdated Apr 2026
What is an LLM?
Large Language Models, explained from first principles — what they are, how they predict tokens, and where the magic and limits come from.
- ComparisonUpdated Apr 2026
Best Free AI Tools
The AI tools that are genuinely useful at $0 — no trial, no credit card, no rage-quit moments.
- Tool GuideUpdated Apr 2026
ElevenLabs Guide
The best-in-class text-to-speech and voice cloning platform. Used for podcasts, audiobooks, dubbing, and game characters.
- WorkflowUpdated Apr 2026
Build an AI Email Assistant
An assistant that drafts replies in your voice, classifies incoming mail, and surfaces only what needs you.
- ConceptUpdated Apr 2026
MCP Explained
The Model Context Protocol is the USB-C of AI tooling. Here's what it is, why it matters, and how to think about it.
- Tool GuideUpdated Apr 2026
Perplexity Guide
An AI-first search engine that cites its sources. Replaces 'Google + 10 tabs' with a single conversational answer.
- ConceptUpdated Apr 2026
Embeddings Explained
Embeddings turn text into numbers that capture meaning. They power search, RAG, recommendations, and clustering — here's how.
- ConceptUpdated Apr 2026
Vector Databases Explained
What vector databases actually do, when you need one, and what the real tradeoffs between Pinecone, Weaviate, Qdrant, and pgvector look like.