Episode Templates
The 30-Second Episode Skeleton
Video or podcast, works identically.
0–3s — Optional cold open
Provocative statement, question, or contrast.
3–6s — Identifier
“Hi, I’m Ramona. This episode is about…”
6–10s — Frame the problem
Why this topic exists / why it’s confusing.
10–22s — Core insight
One clear explanation, distinction, or takeaway.
22–27s — Implication
Why it matters now (not historically).
27–30s — Exit
“That’s it for this episode.”
No recap. No CTA unless it genuinely fits.
Cadence Tuning
Podcast
Slightly slower pace
Longer pauses after key nouns
Fewer sentence fragments
Video
Slightly faster pace
One deliberate emphasis per sentence
Let facial expression replace filler words
Episode Naming System
Readable, searchable, future-proof.
Default format (use ~80% of the time)
[Concept]: [Clarifying Promise]
Examples
AI Agents: What They Actually Do
Dashboards: Why They’re Fading
Automation: Where It Breaks Down
Rules
Colon always
No adjectives like simple, easy, ultimate
Promise clarity, not hype
Alternate format (rotation)
Why [Common Belief] Is Wrong
How [Thing] Really Works
Examples
Why “More Data” Doesn’t Mean Better Decisions
How Modern Recommendation Systems Really Work
Optional Series Label
Only add when useful:
Decoded
Explained
Unpacked
Example:
AI Agents, Decoded
Do not number episodes publicly. It limits re-entry.
YouTube Description Template
(First 2 lines matter most)
Line 1 (hook):
A clear explanation of [topic] and why it matters now.
Line 2 (promise):
In this episode, Ramona breaks down [specific confusion], [key distinction], and [practical implication].
Optional line 3:
No hype. Just clarity.
Podcast Show Notes Template
Title:
Same as episode name.
Summary (2–3 sentences):
This episode explains [topic], focusing on [what people get wrong] and [how to think about it clearly]. If you work in [relevant domain], this will help you make better decisions.
Topics covered:
What [thing] actually is
Where confusion comes from
Why it matters now
Thumbnail/Cover Text Rules (Video)
Max 4 words
Large nouns, not verbs
High contrast, no punctuation
Examples
AI Agents
Automation Tradeoffs
Data ≠ Insight