Common Workflows
Copy-paste ready workflows for real situations. Learn by example.
Workflow 1: Client Meeting Prep
Scenario: Meeting with potential client tomorrow about AI strategy for their agency.
Goal: Show up prepared with relevant insights from your research.
Time: 10 minutes
The Process
1. Get the landscape
- Ask:
"What do I know about AI implementation challenges for agencies?" - Get: Overview of challenges, multiple perspectives, recurring themes
2. Get expert recommendations
- Ask:
"What does Ethan Mollick recommend for getting started with AI?" - Get: Tactical advice, frameworks, expert perspectives
3. Find practical steps
- Ask:
"What practical first steps for AI adoption have I captured?" - Get: Concrete actions, proven approaches, what works
4. Get real examples
- Ask:
"Find successful AI implementation examples in my research" - Get: Case studies, company examples, success patterns
5. Prepare for objections
- Ask:
"What common objections to AI adoption have I seen?" - Get: Anticipated pushback, counter-arguments, solutions
Result
Walk into the meeting with:
- Context on challenges → Credibility
- Expert recommendations → Authority
- Tactical steps → Actionable value
- Real examples → Proof points
- Objection handling → Confidence
Value: Look like you've been studying this for months
Workflow 2: Weekly Content Creation
Scenario: Need to write newsletter/LinkedIn post about AI trends this week.
Goal: Create content backed by your curated research.
Time: 15-20 minutes
The Process
1. Survey recent insights
- Ask:
"What new AI developments have I captured in the last 2 weeks?" - Get: Recent trends, latest thinking, fresh angles
2. Identify themes
- Ask:
"What common themes appear across my recent newsletters?" - Get: Patterns across sources, emerging consensus, hot topics
3. Pick theme and get evidence
- Ask:
"Find examples and quotes about [theme] from my research" - Get: Supporting evidence, quotable experts, multiple perspectives
4. Draft outline
- Ask:
"Create outline about [theme] using Ben's Bites, The Batch, Simon" - Get: Structure, key points, natural flow
5. Use posty to draft
- Ask:
"Use posty to create LinkedIn post about [theme] from these insights" - Get: Draft in your voice, platform formatting, ready to post
Result
Content that:
- Cites credible sources → Authority
- Synthesizes perspectives → Depth
- Takes a position → Point of view
- Provides value → Not just news
Alternative: 2-3 hours manual research and writing
Workflow 3: Strategic Decision
Scenario: Deciding whether to build product A (AI audit tool) or product B (AI consulting service).
Goal: Make evidence-based decision using your research.
Time: 20 minutes
The Process
1. Get decision frameworks
- Ask:
"What have I learned about choosing between product strategies?" - Get: Decision frameworks, expert considerations, how others chose
2. Compare approaches
- Ask:
"Compare Lenny and Ben Thompson on product vs service models" - Get: Pros/cons, different perspectives, key tradeoffs
3. Check market signals
- Ask:
"What market trends for AI tools and services have I captured?" - Get: Demand signals, market maturity, competitive landscape
4. Get tactical insights
- Ask:
"What do I know about successful launches in AI space?" - Get: What worked, common mistakes, success patterns
5. Request 131 analysis
- Ask:
"131 analysis: Build AI audit tool or focus on consulting?" - Get: Problem defined, three options, one recommendation
Result
Decision backed by:
- Multiple expert perspectives
- Market evidence
- Success patterns
- Clear recommendation
Not based on: Gut feeling, yesterday's article, single opinion, hype
Workflow 4: Learning Deep Dive
Scenario: Need to quickly get up to speed on "agentic workflows" for upcoming project.
Goal: Comprehensive understanding in 30 minutes.
Time: 30 minutes
The Process
1. Survey what you know
- Ask:
"What do I already know about agentic workflows?" - Get: Baseline understanding, what you've captured, visible gaps
2. Get comprehensive coverage
- Ask:
"Give me everything I have on agentic workflows from all sources" - Get: Complete picture, chronological development, multiple angles
3. Cross-reference experts
- Ask:
"How do Ethan, Simon, and Anthropic explain agentic workflows differently?" - Get: Comparison of definitions, different mental models, agreement/disagreement
4. Get tactical examples
- Ask:
"What practical agentic workflow implementations have I captured?" - Get: Real-world applications, actual usage, what works in practice
5. Create summary
- Ask:
"Create comprehensive agentic workflows summary with key takeaways" - Get: Synthesized understanding, key concepts, actionable insights
Result
In 30 minutes:
- Comprehensive understanding
- Multiple perspectives
- Practical examples
- Ready to discuss intelligently
Alternative: Reading 10+ articles for 3+ hours
Workflow 5: Inbox Processing
Scenario: Daily capture of thoughts, ideas, and tasks.
Goal: Capture quickly, process efficiently, never lose ideas.
Time: 30 seconds to capture, 5 minutes daily to process
Throughout the Day: Capture
Drop notes in !inbox/ with action keyword prefix:
write post: [idea]→ Draft postvideo script: [topic]→ Video scripttodo: [task]→ Structured todoresearch: [question]→ Research taskcourse: [topic]→ Course outlineclaude: [request]→ Execute immediately
End of Day: Process
Ask: "Process the inbox"
The inboxy agent:
- Reads all
!inbox/files - Detects action keywords
- Routes to appropriate handlers
- Creates structured outputs
- Files appropriately
- Cleans up inbox
Result
- Frictionless capture → No context switching
- Automatic routing → Smart processing
- Nothing lost → All filed appropriately
- Clear actions → Todos created
Full keyword list: See .claude/agents/inboxy.md
Workflow 6: Find That Thing
Scenario: "I read something about prompt engineering but can't remember where..."
Goal: Find specific content from your research.
Time: 30 seconds
Search Strategies
By topic (all sources)
- Ask:
"Search my research for prompt engineering best practices"
By source (specific expert)
- Ask:
"What has Ethan Mollick said about prompt engineering?"
By timeframe (recent only)
- Ask:
"What did I capture about prompt engineering in the last month?"
By content type (targeted)
- Ask:
"Search my YouTube transcripts for few-shot prompting"
Funnel: Broad → Specific
"What do I know about prompting strategies?"(wide net)"What does Simon Willison recommend specifically?"(focused)"Show me specific examples of good prompts"(tactical)
Result
Find the insight in 30 seconds instead of 30 minutes.
Workflow 7: Competitive Research
Scenario: Researching competitor positioning and strategy.
Goal: Compile intelligence from your research sources.
Time: 15 minutes
The Process
1. Direct mentions
- Ask:
"Search my research for any mentions of [competitor name]" - Get: Direct references, context, quotes
2. Market positioning
- Ask:
"What do I know about positioning strategies in [market/category]?" - Get: Positioning approaches, strategies, examples
3. Pricing intelligence
- Ask:
"What pricing models have I captured for [product category]?" - Get: Pricing strategies, models, comparisons
4. Feature comparison
- Ask:
"What features are mentioned as important in [category]?" - Get: Key features, capabilities, differentiators
5. Compile report
- Ask:
"Create competitive intelligence summary for [competitor]" - Get: Comprehensive brief from curated sources
Result
Competitive brief compiled from your research.
Workflow 8: Prepare for Podcast/Interview
Scenario: Going on a podcast to discuss AI and automation.
Goal: Be prepared with insights and examples.
Time: 15 minutes
The Process
1. Core themes
- Ask:
"What are the key themes in my AI research across all sources?" - Get: Main themes, recurring topics, core ideas
2. Hot takes
- Ask:
"What controversial or non-obvious insights have I captured about AI?" - Get: Contrarian views, unique angles, interesting positions
3. Examples and stories
- Ask:
"Find specific AI implementation examples or case studies" - Get: Real examples, case studies, stories to tell
4. Expert quotes
- Ask:
"What memorable AI quotes from Ethan, Ben, or Simon?" - Get: Quotable insights, attributable wisdom, expert perspectives
5. Talking points
- Ask:
"Create 5 key talking points about practical AI adoption" - Get: Structured points, clear messages, memorable takeaways
Result
Walk in prepared with:
- Clear themes
- Interesting angles
- Real examples
- Quotable experts
- Strong talking points
Workflow 9: Course/Talk Creation
Scenario: Creating a talk or course module about AI agents.
Goal: Outline backed by research.
Time: 30 minutes
The Process
1. Gather comprehensive knowledge
- Ask:
"Everything I know about AI agents from all sources" - Get: Complete knowledge base, all perspectives, comprehensive coverage
2. Identify structure
- Ask:
"What are the key concepts someone needs to understand about AI agents?" - Get: Core concepts, learning progression, essential knowledge
3. Find teaching examples
- Ask:
"What practical examples or demos of AI agents have I captured?" - Get: Teaching examples, demonstrations, real applications
4. Get common mistakes
- Ask:
"What misconceptions or mistakes about AI agents have I seen?" - Get: Common errors, misconceptions, pitfalls to avoid
5. Create outline
- Ask:
"Create talk outline about AI agents: intro, 3 key concepts, examples, mistakes" - Get: Research-backed outline ready to develop
Result
Research-backed outline ready to develop.
Workflow 10: Monthly Review
Scenario: End of month, want to synthesize what you learned.
Goal: Big picture patterns and insights.
Time: 20 minutes
The Process
1. Survey the month
- Ask:
"What are the key themes from my research over the last 30 days?" - Get: Main themes, focus areas, what dominated
2. Spot patterns
- Ask:
"What topics appeared multiple times from different sources this month?" - Get: Recurring themes, cross-source patterns, emerging consensus
3. Track evolution
- Ask:
"How has thinking on [key topic] evolved over the last few months?" - Get: Trend analysis, evolution of thinking, trajectory
4. Find gaps
- Ask:
"What questions came up that I haven't found good answers to yet?" - Get: Knowledge gaps, unanswered questions, research opportunities
5. Create monthly brief
- Ask:
"Create monthly research summary: insights, themes, notable quotes" - Get: Monthly synthesis document
Result
Monthly synthesis to:
- Share with team
- Post to community
- Guide your focus
- Track learning over time
Pro Tips Across All Workflows
Start with brain-advisor for Strategic Questions
For any "what should I..." or "how do I..." question, start with brain-advisor:
"Use brain-advisor to research: [your strategic question]"
It searches your indexed knowledge automatically.
Use grep/glob for Specific Searches
When you know exactly what you're looking for:
# Find specific file
glob "**/*prompt-engineering*"
# Search for exact phrase
grep "few-shot" research/newsletters/
Faster for needle-in-haystack searches.
Process Inbox Daily
Keep capture-analyze cycle tight:
- Morning: Capture thoughts as they come
- Evening: Process inbox
- Don't let inbox pile up
Reference Sources in Output
When sharing insights:
"Create a summary about [topic] with source citations"
Adds credibility and lets others explore deeper.
Chain Workflows
Combine workflows for complex tasks:
- Learning deep dive (understand topic)
- Client meeting prep (apply to client)
- Content creation (share insights)
One research session, multiple outputs.
Build Your Own
These are starting points. Adapt to your needs.
Save workflows that work in your own documentation:
touch ~/my-workflows.md
Document what works for you.
Next: When stuff breaks, fix it fast →
Quick Reference
Copy-paste workflows:
- Client meeting prep (10 min)
- Weekly content creation (15 min)
- Strategic decision (20 min)
- Learning deep dive (30 min)
- Inbox processing (5 min daily)
- Find that thing (30 sec)
- Competitive research (15 min)
- Podcast prep (15 min)
- Course/talk creation (30 min)
- Monthly review (20 min)
Common patterns:
- Start with brain-advisor
- Broad → specific
- Multiple perspectives
- Evidence → decision
- Capture → process → act
Inbox action keywords:
- write post, video script, email
- todo, idea, research
- script, fix, course, talk
- claude (execute now)
Pro tips:
- Process inbox daily
- Reference sources
- Chain workflows
- Build your own
- Document what works