Hand-Picked

AI tips and tricks

The good stuff, found for you — great posts, videos, and breakthroughs from across the AI world, with our take on each. Many come with a skill you can install.

March 2026

AgentsMar 22

Supermemory Hits ~99% on Agent Memory Benchmark - No Vector DB Needed

DDhravya Shah@DhravyaShahSupermemory 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, 2026View on X

TLDR

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.

ToolsMar 22

10 Free Claude Code Skills for Meta Ads (~25 hrs/week Automated)

SSam Robert AI@AIandTechh8710 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, 2026View on X

TLDR

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.

BusinessMar 21

AI-Powered GTM: 250% Lead Conversion Lift with AI Agents

AAustin HughesPosted on LinkedInLangChain 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.Mar 21, 2026View on LinkedIn

TLDR

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.

ToolsMar 20

AI is an Onion: The Layers Most People Miss

MMichael Davidson@mike_revenueMost 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, 2026View on X

TLDR

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.

AgentsMar 20

How to Use Claude Cowork Like a Second Employee

JJesse Pujji@jspujji90% 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, 2026View on X

TLDR

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.

ToolsMar 19

Free Resource: Build World-Class Skill Files for Your Agents

TThe Boring Marketer@boringmarketerA free iterative/recursive process for building production-quality skill files. Includes an example of what a great skill looks like. Uses self-improvement loops to refine output — claims better results than Anthropic's built-in skill creator.Mar 18, 2026View on X

TLDR

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.

ToolsMar 18

Lessons from Building Claude Code: How Anthropic Uses Skills

TThariq@trq212Straight 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, 2026View on X

TLDR

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.

AgentsMar 18

AI Agents 101: 58-Minute Free Masterclass

GGreg Isenberg@gregisenbergA 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, 2026View on X

TLDR

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.

BusinessMar 17

5 Levels of AI Marketing and How to Master Each One

SShann@shannholmbergKarpathy 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, 2026View on X

TLDR

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.

ToolsMar 15

Full OWASP Security Sweep with Claude Code

AArvid Kahl@arvidkahlArvid Kahl shares his go-to prompt for running a deep OWASP security sweep of an entire codebase using Claude Code in plan mode. One prompt scans all APIs and internal services, reports by severity, and suggests fixes interactively.Mar 14, 2026View on X

TLDR

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.

BusinessMar 15

Gold Mine for B2B Ad Design — Curated Meta & LinkedIn Ads

KKailash@kail_designsA curated library of high-performing Meta and LinkedIn B2B ads with breakdowns. If you design or write B2B ads, this site (adfolio.design) is a gold mine of inspiration and proven creative patterns.Mar 14, 2026View on X

TLDR

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.

ToolsMar 13

Marketing Expertise Embedded in Claude via MCP Server

HHalley JohnsonPosted on LinkedInMKT1'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.Mar 13, 2026View on LinkedIn

TLDR

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.

BusinessMar 13

The AI-Native GTM Stack Replacing Salesforce and ZoomInfo

DDaniel WaxPosted on LinkedInThe 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.Mar 13, 2026View on LinkedIn

TLDR

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.

BusinessMar 12

Evidence-Based Sales: Path Milestones That 3.2x Win Rates

JJeff IgnacioPosted on LinkedInDiscovery 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.Mar 12, 2026View on LinkedIn

TLDR

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.

BusinessMar 11

4-Category Framework for Customer Success Signal Detection

JJeff IgnacioPosted on LinkedInFour 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.Mar 11, 2026View on LinkedIn

TLDR

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.

ToolsMar 10

5-Tool Demand Gen Skills Pack for Claude

JJenna PotterPosted on LinkedInA 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.Mar 10, 2026View on LinkedIn

TLDR

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.

AgentsMar 9

Influencer Outreach AI Agent Built in Claude Code

MMike Futia@mikefutiaOne 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, 2026View on X

TLDR

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.

BusinessMar 8

GTM Engineering with Claude Code — Ads, Keywords, Landing Pages

CCody Schneider@codyschneiderxxA 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, 2026View on X

TLDR

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.

BusinessMar 7

Human-in-the-Loop GTM Automation via Slack Workflows

EEverett BerryPosted on LinkedInA 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.Mar 7, 2026View on LinkedIn

TLDR

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.

ToolsMar 6

Turn Claude Code into a 10+ Person Team on a $7 VPS

DDimitar Angelov@dimitaranggA 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, 2026View on X

TLDR

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.

AgentsMar 5

17 Best Practices That Make Claude Cowork 100x More Powerful

NNav Toor@heynavtoorAfter 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, 2026View on X

TLDR

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.

AgentsMar 4

Top 5 Notion Custom Agents — Where Real Demand Is

Aalex liu@alex_liuuThe 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, 2026View on X

TLDR

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.

How-toMar 3

Compound Engineering: The New Era of Software Development

KKieran Klaassen@kieranklaassenA video walkthrough of the Compound Engineering guide from Every — covering the beliefs you have to let go of and the ones you have to adopt for the new era of AI-assisted software development.Feb 9, 2026View on X

TLDR

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.

AgentsMar 2

Claude Cowork Saves 5+ Hours a Day — Complete Workflow

AAlex Finn@AlexFinnClaude Cowork is like Claude Code but for your entire life. A complete breakdown of a workflow that saves 5+ hours daily — simple enough for non-technical users. Predicted to be the biggest AI tool of 2026.Jan 21, 2026View on X

TLDR

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.

AgentsMar 2

AI Agents Explained: Build Your First One in 30 Minutes

TLDR

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.