Welcome! This first edition replaces a $50K branding agency with one afternoon, an MBB engagement with 21 skills and a data science bootcamp with one buildable project. Let's get into it.
In today's Generative AI Academy Newsletter:
One-afternoon brand: build a logo, kit and visuals with Higgsfield before your coffee cools
Claude the consultant: 21 skills that run a full strategy engagement end to end
New cohort course: build a Global Startup & VC Intelligence System in 4 weeks
Tool of the Day: draft in Claude, polish in Canva, done in 3 minutes
Claude Code: the 12 features every engineer should have on by default
Prompt of the Day: a full productivity audit for your team
Branding agencies charge $5,000 to $50,000 and take 6 weeks to deliver a logo, a color palette and a deck explaining why.
GenAI Academy's newest guide gets a founder to the same deliverables in one afternoon with Higgsfield.
The guide walks through a fictional launch, SnapShell, an online shop selling playful phone cases, and builds everything the shop needs to look professional on day one:
a logo, brand colors, fonts and visual direction, Instagram templates, product photos, consistent videos and a mini brand kit ready to deploy.
The smartest part comes before any generating happens.
The guide forces one sentence first: "Our brand sells ___ that makes customers feel ___ by offering ___."
Fill in those blanks and every image, template and video that follows inherits the same personality.
Skip them and you get the generic AI look that screams template.
Every step is hands-on, so you finish with files rather than theory.
Grab a coffee and build yours: Build a Brand with Higgsfield in One Afternoon
Fable 5 does strategy better than most consultants
I loaded 10 skills into Claude and it now runs a full strategy engagement end to end.
1/ situation-assessment: Reads the business like a first-week engagement team and pins down what is actually going on.
2/ growth-barriers: Finds the constraint holding revenue back before anyone proposes a fix.
3/ assumption-audit: Lists every belief the strategy rests on and flags the ones that would kill it if wrong.
4/ market-mapping: Sizes the market and draws the battlefield segment by segment.
5/ competitive-intel: Profiles each rival's economics, current moves and likely next play.
6/ customer-segmentation: Splits the customer base by need and buying behavior, then shows which segments deserve the investment.
7/ profit-pool-analysis: Shows where the money actually pools across the value chain.
8/ strategic-options: Builds 3 to 5 distinct paths forward with the economics behind each.
9/ pricing-strategy: Tests price moves against elasticity, competitive response and margin math.
10/ business-case-builder: Turns an idea into a board-ready case with NPV, payback and sensitivities.
Together they follow the same backbone every MBB engagement runs on: Diagnose → Map → Choose → Execute → Govern → Communicate.
Free Claude course at GenAI Works Academy. Enroll here.
Which part of a strategy engagement would you hand to Claude first?
VCs run on pattern recognition, and patterns live in data: who's raising, which sectors heat up, where the smart money moves before the headlines catch it.
GenAI Academy's new 4-week cohort course teaches AI-assisted data science by building exactly that: a Global Startup & VC Intelligence System, end to end, from scratch.
Across the 4 weeks you'll:
→ Clean and merge messy multi-source startup data with AI doing the grunt work
→ Build predictive models on funding outcomes
→ Run network analysis on investor and founder connections
→ Ship an interactive dashboard that turns it all into decisions
The premise behind the course: AI accelerates data scientists rather than replacing them. The ones pulling ahead learned to run the full lifecycle with a model as their pair programmer, and that methodology transfers to any domain once you've done it once.
You learn the process by doing the project. You leave with a working system in your portfolio and a repeatable method for the next one.
Cohort seats are limited. Enroll here.
Which would you rather show a hiring manager: 10 certificates or 1 system that predicts funding rounds?
Design anything with Canva inside Claude
Claude now drafts full designs and hands them straight to Canva, taking a document from prompt to branded deliverable in about 3 minutes.
Try it now:
Go to claude.ai and sign in
Select Sonnet 4.7 as your model
Enter a prompt like: "Design a professional welcome guide for a company retreat, including schedule, activities and key information"
Hit enter and Claude generates the complete guide in seconds
Click Export → Send to Canva → Open in Canva
In Canva, open Brand and apply your colors, fonts and style
Customize the layout, visuals and sections as needed
Try it today: Create a presentation, event guide, social post, brochure or internal document and finish it in Canva.
12 Claude code features every engineer must know
Coding with Claude?
Then don't miss these 12 features:
1️⃣ CLAUDE.md – Gives Claude a memory file it reads every session, packed with your custom rules.
2️⃣ Permissions – Decide what Claude can access, from read/edit permissions to blocking Bash entirely.
3️⃣ Plan Mode – See Claude's plan before it acts, then approve or reject each step.
4️⃣ Checkpoints – Automatically save Git snapshots so you can restore any previous version in seconds.
5️⃣ Skills – Store reusable instructions Claude follows automatically across tasks.
6️⃣ Hooks – Trigger custom scripts at key moments, such as PreToolUse and PostToolUse.
7️⃣ MCP – Connect Claude to external tools, databases, and APIs.
8️⃣ Plugins – Add third-party integrations without writing extra code.
9️⃣ Context – Control exactly what Claude can see, including files, conversation history, tools, and rules.
🔟 Slash Commands – Run complete actions with a single command.
1️⃣1️⃣ Compaction – Compress long conversations to preserve context without losing important details.
1️⃣2️⃣ Subagents – Spawn parallel agents to tackle complex, multi-step tasks faster.
Twelve small features.. together they change how coding with AI feels day-to-day.
Team Productivity Analysis
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