Tendril
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A curated walkthrough of the library — ordered lessons, a 15-question quiz between each, and 3 next-steps so you stay in flow. Earn XP, badges, and a streak as you go.
Library · 6440 lessons · Career Preview view
Explore how AI shows up in real jobs without jumping into adult workflows. Pick a tool lane below to drill into concrete workflows, then use the browser to refine by age, situation, or skill level.
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Start with a real app or workflow. Each lane filters the library to practical lessons, not just broad theory.
702 lessons in career preview
Lessons handpicked for the Career Preview shelf.
AI PM hiring is moving toward portfolio evaluation. The candidates who get hired show ML-literate product judgment through artifacts — evaluation specs, eval sets, prompt iteration logs, deployment retrospectives.
The AI engineer and ML engineer roles overlap but are different careers — different skills, different career arcs, different employers. Choosing well shapes a decade of your career.
'Prompt engineer' as a standalone job is fading; prompt engineering as a skill embedded in other roles is growing. Here's how the role is evolving and how to position for what's next.
Researchers transitioning to industry face specific challenges — the skills that earn citations differ from the skills that ship products. Here's the translation guide.
Fresh Career Preview lessons added to the library.
What works locally now, what does not, and why it matters.
Inside the autocomplete and chat features that ship in IDEs.
A practical framework for picking the right model for each task.
Without evals you are vibes-driven. With evals you can ship.
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AI PM hiring is moving toward portfolio evaluation. The candidates who get hired show ML-literate product judgment through artifacts — evaluation specs, eval sets, prompt iteration logs, deployment retrospectives.
The AI engineer and ML engineer roles overlap but are different careers — different skills, different career arcs, different employers. Choosing well shapes a decade of your career.
'Prompt engineer' as a standalone job is fading; prompt engineering as a skill embedded in other roles is growing. Here's how the role is evolving and how to position for what's next.
Researchers transitioning to industry face specific challenges — the skills that earn citations differ from the skills that ship products. Here's the translation guide.
AI is in a founder gold rush. Many of the people starting companies now will fail because the readiness signals aren't there. Here's the honest self-assessment that separates ready from rationalizing.
What 'AI skills' means depends on your role. PMs, designers, sellers, engineers, analysts each need different skills. Here's the realistic 2026 map.
Managing engineers in 2026 means managing engineers + their AI tools. The skills are partially new and partially the same.
AI is changing finance careers in specific ways. The high-value work shifts; the entry-level work transforms most. Here's what to know.
AI is shifting design careers from production to direction. Designers who adapt thrive; those who don't compete with AI on production speed (and lose).
AI changes sales most where prospecting and admin live. The relationship work stays human. Sellers who use AI for the right things win bigger.
Product marketing translates technical AI capability into customer value. The role shifts as AI products multiply — and the translation skill becomes more valuable.
Business analysts producing reports are being replaced by AI; analysts who drive decisions are more valuable than ever.
Routine customer success tasks (check-ins, basic onboarding) are automating. Strategic partnership and complex problem-solving get more valuable.
AI creates new attack surfaces and accelerates existing threats. Security engineers with AI fluency are in extreme demand.
Data engineers are the unsung heroes of AI deployment. The work shifts from traditional ETL to AI-specific infrastructure.
AI changes marketing roles fast. The marketers who win combine strategic thinking with AI-augmented execution.
HR work transforms with AI. The high-value work shifts to talent strategy, culture, and employee experience.
PMs increasingly build AI products. The skills shift from traditional product to AI-aware product management.
Strategy consulting transforms with AI. Junior work automates fast; senior strategy work changes more slowly.
CFO work transforms with AI. Strategic CFO becomes more valuable; transactional work automates.
COO work involves orchestrating operations across functions. AI changes the orchestration tools and approaches.
CTO work shifts dramatically with AI. Building, buying, and integrating AI shape the role.
CMO work transforms with AI personalization, content, and analytics. Strategy stays human.
CHRO work shifts with AI in hiring, performance, and employee experience. Ethics and culture matter more.
VC and PE careers transform with AI. Pattern recognition accelerates while judgment remains central.
Non-profit work transforms with AI. Mission focus matters more than tools, but tools accelerate.
Government work involves AI in policy, services, and operations. Public-interest framing matters.
Journalism transforms with AI in research, writing, and verification. Editorial judgment remains.
Trades work resists AI replacement but adopts AI tools. Skill remains primary; tools accelerate.
Plan the staff-engineer arc in AI-heavy orgs — where leverage compounds through systems and review, not personal output.
Run a high-leverage AI engineering team — hiring, calibration, and the manager work AI cannot do for you.
Build credibility in DevRel where audiences are AI-fatigued — by leading with working code and honest limits.
Scope AI pilots that are realistic, measurable, and ready to convert to production without rebuild.
Operate as a product-embedded data scientist where the deliverable is decisions shipped, not notebooks polished.
Build a research-engineer practice where reproducibility, not novelty, drives credibility.
Build an MLOps practice where pipelines are observable, drift is alarmed, and the on-call rotation is humane.