Tendril — AI Lessons for Real Life

Tendril

First-hire fundamentals

Decide: contractor (1099), part-time, or full-time — each has different tax/legal weight

Equity for early hires: typically 0.5-2% with 4-year vesting, 1-year cliff

Use a standard offer letter template (Clerky, AngelList, Common Paper) — don't freestyle

Build an onboarding doc in Notion: mission, tools, 30/60/90 goals, who-to-ask

Use Claude to draft role-specific onboarding plans from your codebase or SOPs

Vesting protects both of you. If your hire leaves after 3 months, they don't walk with 2% of the company forever. It's not stingy — it's standard.

# First-hire offer letter skeleton Role: {title} Start date: {date} Compensation: - Base: ${cash}/yr (or ${rate}/hr if contractor) - Equity: {pct}% ISO stock options - Vesting: 4 years, 1-year cliff, monthly thereafter Expectations (first 90 days): - Days 1-30: {onboarding goals} - Days 31-60: {ownership of X} - Days 61-90: {first shipped outcome} Benefits: {PTO, health, equipment stipend} At-will employment. Offer expires {date + 7 days}. Review with a lawyer before sending. Seriously.

Good looks like your first hire shipping a real outcome by day 60, understanding their equity without asking you twice, and both of you still excited they joined at month six.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-biz2-first-hire-adults

What is the main idea of "Your First Hire: Equity Basics, Offer Letters, and AI-Assisted Onboarding"?

Bringing on your first teammate is a real commitment. Get the equity, paperwork, and onboarding right from day one.
Use AI as the final authority for the whole decision
Avoid checking the answer once it sounds polished
Focus only on speed instead of judgment

Which concept is most central to "Your First Hire: Equity Basics, Offer Letters, and AI-Assisted Onboarding"?

equity
first hire
offer letters
onboarding

Which use of AI fits this topic best?

Let the AI decide what matters without your review
Use the answer before checking whether it fits the situation
Decide: contractor (1099), part-time, or full-time — each has different tax/legal weight
Treat the AI output as automatically correct

What should a careful learner remember about "Misclassifying a full-time worker as a 1099 is a federal issue"?

Use AI to draft or organize ideas about first hire, then verify before acting.
Skip the context so the tool can guess faster
Treat the output as private even after sharing it online
Use the answer without checking the source

You want to use AI after this lesson. What is the safest next step?

Act immediately because the AI answer is written clearly
Use AI as a workflow assistant, with human review for decisions that carry risk.
Hide uncertainty so the final answer looks cleaner
Use private or sensitive details before checking permission

How should AI output about first hire be treated?

As proof that no other source is needed
As a replacement for context, consent, or expert review
As a draft or helper output that still needs human judgment and verification
As something that becomes correct when it sounds confident

Name one way to verify an AI answer about first hire.

Which action would help you apply "Your First Hire: Equity Basics, Offer Letters, and AI-Assisted Onboarding" responsibly?

Use the tool to avoid thinking through the tradeoff
Keep going even if the output conflicts with a trusted source
Treat the AI output as automatically correct
Equity for early hires: typically 0.5-2% with 4-year vesting, 1-year cliff