update-dip

name	update-dip
description	Updates an author's Digital Identity Profile with new data from transcripts. Use when a DIP needs to be refreshed after a new transcript, feedback, or a scheduled review. IMPORTANT: the DIP is built ONLY from transcripts and recorded speech, NEVER from posts.

Update Digital Identity Profile

Refresh an author's DIP with new data from transcripts and recorded speech.

CRITICAL PRINCIPLE

The DIP is built ONLY from source material — transcripts, meeting recordings, talks, podcasts. NEVER from posts. Posts are OUTPUT of the DIP, not INPUT. Building the DIP from posts → feedback loop → loss of the real voice.

Input

• $0 — author name (Seva, Kirill)
• Conversation context — a new transcript, feedback, or a scheduled-update request

Required files

1. Current author DIP: Knowledge-Base/01-Identity-Profiles/[Author]-DIP.md

2. DIP Update Workflow: Templates/DIP-Update-Workflow.md

Data sources (hierarchy)

Priority	Source	Path
1	Podcasts and talks	your-raw-sources/podcasts-and-events/
2	Conferences	Media activities/Cursor Case Activities/Conferences/
3	Livestreams	Media activities/Cursor Case Activities/Livestreams/
4	AGI/Product calls	your-transcripts/internal-product-calls/
5	Presales calls	Presales/Projects/Projects list/*/Transcripts/
6	Marketing calls	your-transcripts/marketing-meetings/
7	AI positioning calls	your-transcripts/strategy-calls/
8	Client calls	Production/Projects/Projects list/*/Meetings transcripts/
9	Granola syncs	your-transcripts/synced-meetings/
10	Webinars	your-transcripts/webinars/
11	Telegram (the author's own words)	your-raw-sources/telegram-posts/

NOT sources: LinkedIn posts (Posted/), PR comments, presentations, marketing copy, product blurbs.

Pipeline

Follow the process from _DIP-Update-Workflow.md.

Three update types:

1. New transcript / material:

• Read the new transcript — focus ONLY on the author's speech
• Extract: new stories, speech patterns, frameworks, contrarian positions, metrics, numbers
• Check for contradictions with the current DIP (the person may have changed their mind)
• Update the relevant DIP sections (Stories Bank, Frameworks, Expertise Clusters, Tone of Voice)
• Update the Source Index
• Add an entry to the Update Log

2. Feedback (from the author personally):

• Record it in the "FEEDBACK LOG & LEARNINGS" section
• Format: Date | Context | Category | Feedback | Lesson Learned
• Categories: tone | accuracy | context | angle | format | strategy
• If a pattern repeats 3+ times → promote it from the Feedback Log to the main DIP sections

3. Fresh Scan (before creating content):

• Check Last Updated and Last Fresh Scan in the DIP
• Find ALL new transcripts featuring the author after that date
• Quickly scan each (5 min/file): new positions, stories, numbers, phrases
• If there are material updates → update the DIP before content
• Update the Last Fresh Scan date

4. Quarterly review:

• Audit every section for accuracy
• Compare against the 2–3 most recent transcripts — does the voice still match?
• Verify: are there unprocessed transcripts?
• Update metrics (team size, clients, numbers)
• Increment the version in the Update Log