Manuela Barcenas breaks down how marketing work has flipped from “writer + editor” to “manager of agents.” She shares two concrete workflows: (1) using Claude Projects to reposition and modernize 100 legacy blog posts in a week (including updated product messaging, AI-forward advice, and internal links), and (2) using Fellow’s “Ask Fellow” to mine anonymized customer-call transcripts for original quotes and pain points—then turning those insights into publish-ready integration/use-case articles in hours, not weeks. The throughline: output is easy now; taste, judgment, and review are the differentiators.
Timestamps
0:00–0:00 - Intro
1:18–2:54 Early Fellow days: one blog/week, months-long ebooks, craftsmanship vs scale
3:06–3:26 Scale expectations now: Amazon’s ebook upload limit anecdote (3/day)
3:40–4:30 Fellow previously managing an “army of writers” → now mostly AI/agents
4:36–5:00 “Taste” as the differentiator: what good content is + standing out
5:53–7:12 The 100-post update explained: not link swaps—full repositioning + modernized advice
7:25–9:36 Switching from ChatGPT to Claude; LinkedIn poll results + “context retention” theme
9:48–10:21 Claude Projects setup: separate projects to maintain context and instructions
14:43–15:29 Prompt versioning: internal links, new features, and repeated refinement cycles
18:55–19:20 Demo: paste URL → Claude fetches page → follows checklist automatically
19:26–20:24 Manuela’s QA: she reads/edits everything; “taste” = final layer (like editing writers)
21:38–23:17 Claude Skills discussion: turning repeated workflows into reusable MD “skills” (personal vs company-wide)
25:42–26:26 SEO myth: focus isn’t “AI penalty,” it’s originality and substance (quotes, stats, real insight)
26:38–28:39 Original content engine: Ask Fellow pulls anonymized customer-call insights by feature/integration
28:39–31:21 Building documents from transcripts (pain points, best practices, FAQs, quotes) → export to Doc/PDF
31:21–33:29 Feed exported insights into Claude Project to draft a tight article rich with customer quotes
33:29–36:06 Why it works: management loop (outcomes → constraints → review → feedback) at faster cadence
36:18–37:30 What’s next: Claude Code / Claude “co-work”; projects as “mini employees”
37:02–38:06 Personal brand workflow: Claude analyzes best LinkedIn posts → style guide + voice-based drafting (Whisper Flow)
38:28–39:12 Wrap: AI speed is real; staying current requires constant learning
Tools & technologies mentioned (with brief descriptions)
Claude (Anthropic) — LLM used for higher-quality long-context writing, structured rewrites, and content systems.
Claude Projects — Workspace feature to keep persistent instructions/context per workflow (e.g., content optimization agent).
Claude Skills — Reusable capabilities packaged as uploaded markdown files (personal or org-wide) to standardize output.
Claude Code / Claude “co-work” — Anthropic workflows/webinars referenced for deeper automation beyond writing (emerging).
ChatGPT — Baseline comparison model; Manuela notes switching due to Claude’s perceived context + output quality.
Excel + Claude — Mentioned via finance demo: using Claude in Excel to build financial models.
Fellow.ai — AI meeting assistant used for transcripts, summaries, action items, and cross-tool integrations.
Ask Fellow — Fellow feature that queries meeting knowledge (calls/transcripts) to generate anonymized insight docs.
Anonymization (in Fellow) — Removes identifying customer details while preserving job titles/quotes for safe content use.
Integrations (examples named) — Slack, Asana, HubSpot, Salesforce, Linear, Jira, Confluence (tools Fellow connects with).
Whisper Flow — Voice-to-text capture tool used to speak ideas, then convert into styled writing (e.g., LinkedIn drafts).
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This New Way