Tendril — AI Lessons for Real Life

Tendril

The 45-minute weekly ritual

Maintain a NotebookLM with every competitor's docs, changelog, and pricing page

Friday 9am: run a Perplexity scan for '{competitor} news last 7 days' x each rival

Capture: pricing changes, new features, job posts (hints at roadmap), funding

Ask Claude: 'what would I do differently if I were them next month?'

Write ONE decision: ship, ignore, counter, or reposition

The deliverable isn't a dashboard — it's a single decision per week. If you can't point to what changed in your roadmap because of research, you did busywork.

# Weekly CI prompt (Claude w/ Perplexity results pasted in) Competitors: {A}, {B}, {C} Week of: {date} For each competitor, extract from the research: - Product changes (features shipped, deprecated) - Pricing changes - Notable hires or job posts - Content/narrative shifts Then: 1. What's the biggest threat to {us} this week? 2. What's the biggest opportunity they're leaving open? 3. Recommend ONE concrete action for next week. Keep output under 300 words.

Good looks like never being surprised by a competitor's launch, making at least one roadmap change per month because of what you spotted, and spending under an hour a week on it.

End-of-lesson check

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

What is the main idea of "A Weekly Competitive Research Ritual With AI"?

Use Perplexity, NotebookLM, and Claude to keep a live pulse on every competitor without burning a whole day.
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 "A Weekly Competitive Research Ritual With AI"?

Perplexity
competitive intelligence
NotebookLM
strategic positioning

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
Maintain a NotebookLM with every competitor's docs, changelog, and pricing page
Treat the AI output as automatically correct

What should a careful learner remember about "Don't reverse-engineer paid products"?

Use AI to draft or organize ideas about competitive intelligence, 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 competitive intelligence 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 competitive intelligence.

Which action would help you apply "A Weekly Competitive Research Ritual With AI" 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
Friday 9am: run a Perplexity scan for '{competitor} news last 7 days' x each rival

The 45-minute weekly ritual

Maintain a NotebookLM with every competitor's docs, changelog, and pricing page

Friday 9am: run a Perplexity scan for '{competitor} news last 7 days' x each rival

Capture: pricing changes, new features, job posts (hints at roadmap), funding

Ask Claude: 'what would I do differently if I were them next month?'

Write ONE decision: ship, ignore, counter, or reposition

The deliverable isn't a dashboard — it's a single decision per week. If you can't point to what changed in your roadmap because of research, you did busywork.

Good looks like never being surprised by a competitor's launch, making at least one roadmap change per month because of what you spotted, and spending under an hour a week on it.

End-of-lesson check

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

What is the main idea of "A Weekly Competitive Research Ritual With AI"?

Use Perplexity, NotebookLM, and Claude to keep a live pulse on every competitor without burning a whole day.
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 "A Weekly Competitive Research Ritual With AI"?

Perplexity
competitive intelligence
NotebookLM
strategic positioning

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
Maintain a NotebookLM with every competitor's docs, changelog, and pricing page
Treat the AI output as automatically correct

What should a careful learner remember about "Don't reverse-engineer paid products"?

Use AI to draft or organize ideas about competitive intelligence, 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 competitive intelligence 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 competitive intelligence.

Which action would help you apply "A Weekly Competitive Research Ritual With AI" 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
Friday 9am: run a Perplexity scan for '{competitor} news last 7 days' x each rival