The AI Builder's Library
The best content about Claude Code, vibe coding, and building with AI - curated from across the web with expert commentary.
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FeaturedSupermemory Hits ~99% on Agent Memory Benchmark - No Vector DB Needed
Supermemory introduces ASMR (Agentic Search and Memory Retrieval) - a multi-agent pipeline that hits ~99% on LongMemEval without vector databases or embeddings. Parallel observer agents ingest, parallel search agents retrieve, and specialized answering ensembles reason over the results.
Mar 22, 2026, 12:00 AM
Our Take
This is a big deal for anyone building AI agents. The key insight: ditching vector search for agentic retrieval was the single biggest unlock. No embeddings, no vector DB - just agents reasoning over structured knowledge. If you're building agents that need to remember things across sessions, bookmark this. The code is being open-sourced.
FeaturedHow to Use Claude Cowork Like a Second Employee
90% of marketers using Claude are wasting time in Chat. Claude Cowork turns one hire into two employees — handling data analysis, research, and campaign creation. Jesse Pujji breaks down why Cowork is the only AI tool his team sees themselves using in 6 months.
Mar 19, 2026, 12:00 AM
Our Take
Jesse runs multiple companies and his team tested every major AI tool. His verdict: Cowork is the one that sticks. That tracks with what I see in the Bootcamp — the people who switch from Chat to Cowork have a "holy shit" moment when they realize what persistent context actually means for their workflow.
FeaturedAI Agents 101: 58-Minute Free Masterclass
A complete breakdown of AI agents in plain English: chat vs agents, the agent loop (context → decide → execute → repeat), MCP tool connections, context over prompts, CLAUDE.md as the onboarding doc, and memory.md for improvement. 58 minutes covering everything from basics to skills.
Mar 17, 2026, 12:00 AM
Our Take
Send this to anyone who asks "what are AI agents?" Greg breaks down the entire stack in plain English — no jargon, no fluff. The key takeaway: context beats prompts. Stop writing perfect prompts. Load your agent with context about your business and simple instructions work. That's exactly what we teach.
FeaturedLessons from Building Claude Code: How Anthropic Uses Skills
Straight from Anthropic — how they use hundreds of skills internally to accelerate development. Skills aren't "just markdown files" — they're folders with scripts, hooks, and creative configuration options. The most interesting skills use folder structure and dynamic hooks in ways most users haven't discovered.
Mar 17, 2026, 12:00 AM
Our Take
This is the definitive post on Claude Code skills, straight from the team that builds them. The biggest revelation: skills aren't just prompts in markdown. They're folders with scripts, hooks, and configuration. Anthropic runs hundreds of them internally. If you're still treating skills as fancy prompts, you're missing the entire point.
Featured5 Levels of AI Marketing and How to Master Each One
Karpathy scored marketing 9/10 for AI exposure. Most marketers are stuck copy-pasting ChatGPT outputs. This breakdown covers 5 distinct levels — from custom prompts to multi-agent content systems — built from running an actual production workflow at an agency.
Mar 16, 2026, 12:00 AM
Our Take
Level 1 is where 90% of marketers stay forever: typing into ChatGPT and getting generic output. The jump from Level 1 to Level 3 (custom context + skill files) is where the real leverage happens. If you're still prompting from scratch every time, you're leaving 10x productivity on the table.
Featured17 Best Practices That Make Claude Cowork 100x More Powerful
After 400+ Cowork sessions in 7 weeks, Nav Toor shares 17 specific practices ranked by impact. Covers context architecture, setup, structure, and undocumented features. The gap between casual and power users is enormous — and it has nothing to do with prompting skill.
Mar 1, 2026, 12:00 AM
Our Take
400 sessions in 7 weeks. This guy stress-tested Cowork harder than most people use it in a year. The biggest insight: the gap between casual and power users has nothing to do with prompting. It's about setup and structure. Context architecture (practices 1-5) is where you get the 100x. Bookmark this.
FeaturedCompound Engineering: The New Era of Software Development
Our Take
Compound Engineering is the mindset shift that separates people who use AI as a spell-checker from people who 10x their output. Kieran walks through Every's guide on what beliefs to abandon (you need to write every line) and what to adopt (AI as a force multiplier). Essential viewing for anyone building with AI.
FeaturedWhy Plan Mode Changes Everything in Claude Code
Our Take
Plan Mode is the single most underused feature in Claude Code. Most people jump straight into building - but spending 5 minutes in Plan Mode saves you hours of rework. I use it on every project now.
FeaturedNon-Technical Founder Ships Full SaaS with Claude Code
Our Take
Pieter has been proving this thesis for years, but it's different now. The tools are so good that the gap between "technical" and "non-technical" is closing fast. If you're still waiting for a co-founder, you're wasting time.
10 Free Claude Code Skills for Meta Ads (~25 hrs/week Automated)
10 free Claude Code skills for Meta Ads: bleed-check (pause burning ad sets), rebalance (shift budget to winners), fatigue-scan (catch creative fatigue), spy (scrape competitor ads), bulk-creative (generate 50-500 ad variations), hooks (PAS/AIDA/BAB copy), deploy-ads, setup-capi, audience-audit, and weekly-report. ~25 hours/week automated.
Mar 21, 2026, 12:00 AM
Our Take
Drop these .md files into .claude/commands/, set your Meta access token, type /bleed-check — it just runs. 10 skills that automate ~25 hours/week of Meta Ads work. The bleed-check skill alone (finding ad sets burning cash with zero conversions) pays for itself in a day. This is what production Claude Code skills look like.
AI-Powered GTM: 250% Lead Conversion Lift with AI Agents
LangChain case study: 250% lift in lead conversion, 3x pipeline growth, 40 hours/month saved per rep using AI agents for account research, outreach history analysis, and email drafting. Focus on internal AI systems that compound over time.
View on LinkedInOur Take
The numbers here are wild but believable. 250% lead conversion lift, 3x pipeline, 40 hrs/month saved per rep. The key: these aren't chatbots answering questions. They're internal AI systems doing account research, analyzing outreach history, and drafting emails. The compounding effect of AI agents on GTM is just beginning.
AI is an Onion: The Layers Most People Miss
Most people deploy one layer of AI — a ChatGPT prompt — and wonder why it breaks. Real AI systems need 5-7 layers: context, memory, error handling, edge cases, and operational feedback loops. The demo is the part everyone can do. The layers are where the value lives.
Mar 19, 2026, 12:00 AM
Our Take
This is the article I wish every CEO would read before saying "we deployed AI." One layer is a demo. Production is an onion. Every real system I've built required multiple layers — context, guardrails, feedback loops, human escalation. If your AI breaks after week one, you're still on layer one.
Free Resource: Build World-Class Skill Files for Your Agents
Our Take
Skill files are the secret weapon most Claude Code users never discover. This resource walks you through the iterative process — write, test, refine, repeat. The key insight: your expertise is the baseline. The skill file just makes it repeatable at scale. Grab this and build your first skill today.
Full OWASP Security Sweep with Claude Code
Our Take
One prompt. Full OWASP security sweep. Reports in descending severity with suggested fixes. Arvid runs this in plan mode so Claude maps the attack surface before executing. If you're shipping production code without running this, you're rolling the dice. Copy this prompt. Run it today.
Gold Mine for B2B Ad Design — Curated Meta & LinkedIn Ads
Our Take
Steal from the best. This curated library has high-performing B2B ads with breakdowns of why they work. Feed these into Claude Code with a bulk-creative skill and you've got an infinite ad variation machine built on proven patterns. Bookmark adfolio.design.
Marketing Expertise Embedded in Claude via MCP Server
MKT1's marketing frameworks integrated into Claude through Model Context Protocol. Enables AI-powered strategy development, homepage review, and campaign briefs using established B2B marketing templates. Available in beta for newsletter subscribers.
View on LinkedInOur Take
This is the future of marketing tools. Instead of a SaaS dashboard, your marketing frameworks live inside Claude via MCP. Strategy development, homepage reviews, campaign briefs — all powered by proven B2B templates that Claude can reason over. The MCP server approach means your frameworks get smarter as Claude does.
The AI-Native GTM Stack Replacing Salesforce and ZoomInfo
The shift from legacy GTM stack (Salesforce, ZoomInfo, Outreach, Marketo) to AI-native: real-time signals, automated data capture, collaborative deal spaces. Emerging tools: Clay, Common Room, Pocus, 11x, Valley, Attio, Dock.
View on LinkedInOur Take
The legacy GTM stack is dying. Salesforce, ZoomInfo, Outreach, Marketo — all being replaced by AI-native tools that capture data automatically, surface real-time signals, and create collaborative deal spaces. If you're still manually logging activities in a CRM, you're already behind. The new stack: Clay, Common Room, Pocus, Attio.
Evidence-Based Sales: Path Milestones That 3.2x Win Rates
Discovery calls show 3.2x win rate lift. Executive sponsors add 1.9x. Articulated use cases double win rates. Evidence-based sales design that treats milestones as structural requirements, not coaching suggestions. Data-driven approach to pipeline predictability.
View on LinkedInOur Take
Forget stage progression. Focus on milestones. Discovery calls = 3.2x win lift. Executive sponsor = 1.9x. Articulated use case = 2x. These aren't coaching tips — they're structural requirements. If your sales process doesn't enforce these milestones, you're leaving wins on the table. Build these into your CRM as gates, not suggestions.
4-Category Framework for Customer Success Signal Detection
Four signal categories for predicting churn: seat utilization (85% capacity threshold), feature adoption (60+ days without core features = churn risk), organizational spread (cross-team adoption), and usage velocity (40%+ spikes). All data already lives in your product, CRM, and auth logs.
View on LinkedInOur Take
Stop guessing which accounts will churn. Four signals, all already in your data: seat utilization (85% = capacity), feature adoption (60 days without core features = red flag), org spread (single-team = fragile), usage velocity (40%+ spikes = expansion opportunity). Build an AI agent to monitor these weekly and you've automated your CS team's early warning system.
5-Tool Demand Gen Skills Pack for Claude
A 5-tool skills pack for demand gen marketers: campaign brief generator, content offer creator, lead scoring model builder, landing page wireframe generator, and webinar promo planner. Template-driven approach for repetitive marketing workflows.
View on LinkedInOur Take
Five skills that turn Claude into a demand gen machine. Campaign briefs, content offers, lead scoring models, landing page wireframes, webinar promo plans — all the repetitive strategic work that eats your week. The template-driven approach is smart: your expertise becomes the template, Claude handles the execution.
Influencer Outreach AI Agent Built in Claude Code
One prompt builds an agent that scrapes TikTok via Apify, finds creators by niche and follower range, filters by engagement rate and brand partnership signals, deep-dives their content, and writes personalized outreach DMs referencing their actual videos. All inside Claude Code.
Mar 9, 2026, 12:00 AM
Our Take
This is the "AI replaced my intern" moment for DTC brands. One prompt → scrapes TikTok, finds creators in your niche, researches their content, writes personalized DMs that reference their actual videos. If you're still scrolling TikTok manually and DMing creators one by one, this agent eliminates that entire loop.
GTM Engineering with Claude Code — Ads, Keywords, Landing Pages
A YouTube walkthrough showing how to delegate GTM middle-work to Claude Code: uploading Facebook ads in bulk, analyzing and setting negative keywords for Google Ads, building landing pages for winning paid ads. All the keyboard-touching work, automated.
Mar 8, 2026, 12:00 AM
Our Take
This is the video that makes GTM engineers sweat. Cody shows the exact loop: bulk Facebook ad uploads, negative keyword analysis for Google Ads, landing page generation from winning creatives. The hours of keyboard work between strategy and results? Claude Code eats it. If you run paid ads, watch this.
Human-in-the-Loop GTM Automation via Slack Workflows
A practical approach to GTM automation that balances AI with human oversight. Examples: CRM updates, event gathering, signal-triggered emails, pre/post-call automations. Advocates "man and machine" harmony over full end-to-end automation via Slack workflows.
View on LinkedInOur Take
The smartest GTM automation isn't fully automated — it's human-in-the-loop. Everett nails the balance: AI handles CRM updates, event gathering, signal-triggered emails, pre/post-call prep. Humans make the judgment calls. Slack as the coordination layer is genius because that's where your team already lives. Start here before going full autonomous.
Turn Claude Code into a 10+ Person Team on a $7 VPS
A complete strategy for deploying Claude Code on a $7/month VPS that your entire team accesses simultaneously. Eliminates local development environments, enables real-time collaboration from any device, and includes a cold outreach system that books 63 calls/month.
Mar 5, 2026, 12:00 AM
Our Take
This is galaxy brain stuff. Instead of giving every developer a $3,000 laptop, put Claude Code on a $7 VPS and let the whole team access it from phones, tablets, anything. Then he layers a cold outreach system on top that books 63 calls/month. From local dev prison to collaborative AI team for $7/month. The math is insane.
Top 5 Notion Custom Agents — Where Real Demand Is
The top 5 most downloaded Notion custom agents after beta rollout: email assistant (1,804 downloads), content planner (897), morning brief (634), time management strategist (579), weekly review assistant (421). Real demand data showing where AI agents create the most value.
Feb 27, 2026, 12:00 AM
Our Take
This is demand data, not opinions. 1,804 people downloaded an email assistant agent. Content planning, morning briefs, time management, weekly reviews — all workflow automation, not coding. This tells you exactly what to build first if you're creating AI agents for a business audience.
Cursor vs Claude Code: Which AI Coding Tool Should You Use?
“A deep comparison of Cursor and Claude Code - when to use each, strengths and weaknesses, and which is better for different types of projects.”
Read full articleOur Take
This is one of the better comparisons I've seen. The TL;DR: Cursor is great if you want a visual IDE. Claude Code is unmatched for complex, multi-file projects. We wrote our own take at masteringai.io/claude-code-vs-cursor.
AI Agents Explained: Build Your First One in 30 Minutes
Our Take
Fireship makes complex topics click in minutes. If you've been confused about what AI agents actually are vs. the hype, start here. Then come build one with us in the Bootcamp.
Claude Cowork Saves 5+ Hours a Day — Complete Workflow
Our Take
Alex nails it — Cowork is Claude Code for your entire life. Not just coding. Email, research, operations, content, analysis. The workflow he outlines is dead simple and saves real hours. If you've been intimidated by Claude Code's terminal interface, Cowork is your on-ramp.
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