Tinderbox Meetup 18JUL26: CRM in TBX, Review of Attribute Browser and Dario Amodei’s Vision of AI
| Level | Intermediate |
| Published Date | 7/23/26 |
| Tags | AI, Attribute Browser, Claude, 5CKM, 5Cs of Knowledge Management, Eastgate, Identity Praxis, Inc., Mark Bernstein, Michael Becker, Tinderbox |
| Video Length | 01:46:08 |
| Video URL | https://youtu.be/-sFUusfRDPE |
| Example File | TBX- Meetup 18JUL26.tbx (102.4 KB) and MachinesOfLovingGrace.tbx (231.9 KB) |
| TBX Version | 11.8 |
| Instructor | Michael Becker |
This week’s Tinderbox meetup began with a practical deep dive into Ted’s efforts to build a custom CRM in Tinderbox. While Ted initially struggled with the Attribute Browser, the discussion quickly evolved into a broader lesson about Tinderbox’s underlying philosophy. Rather than organizing information through increasingly complex folder hierarchies, the group explored how Tinderbox is fundamentally an attribute-driven system. Michael demonstrated how notes should be modeled using metadata (e.g., Person, Entity, Status, Date) and then dynamically organized through the Attribute Browser, agents, and other views. Chuck Wade further clarified the important distinction between containers, which hold actual notes, and agents, which create dynamic collections of aliases based on queries. Ted described the session as “a complete reorientation,” recognizing that the real power of Tinderbox comes from modeling relationships rather than managing folders.
The second half of the session shifted to a discussion of Dario Amodei’s essay, Machines of Loving Grace, using a Tinderbox document generated collaboratively with Claude to structure the conversation. While the group generally agreed with Amodei’s optimistic vision of AI accelerating advances in health, science, governance, and economic development, they questioned several notable omissions. The discussion highlighted the lack of attention given to software infrastructure, cybersecurity, identity, human agency, data provenance, and the darker incentives that shape technological adoption. Participants also reflected on how Amodei’s background as a biophysicist influenced the essay’s emphasis on biology while leaving questions of work, meaning, creativity, and culture comparatively underdeveloped. The session concluded with a broader conversation about AI as both a catalyst for extraordinary progress and a force that amplifies existing human values, biases, and societal structures, reinforcing the importance of using tools like Tinderbox not merely to organize information but to think critically about complex, interconnected ideas.
Learning Outcomes
After this session, you may,
- Understand the core Tinderbox principle of organizing knowledge through attributes rather than folder hierarchies.
- Distinguish between containers, agents, attributes, and the Attribute Browser, and understand the role each plays within a Tinderbox document.
- Design more flexible knowledge models by representing relationships through metadata instead of physical note location.
- Appreciate how multiple Tinderbox views (Outline, Attribute Browser, Map, Cross Tabs, etc.) provide different perspectives on the same underlying data.
- Recognize how Claude and Tinderbox can be combined to summarize, structure, and critically analyze long-form documents.
- Critically evaluate optimistic AI narratives by considering issues of human agency, identity, privacy, provenance, cybersecurity, and cultural bias.
- Reflect on the distinction between AI’s ability to optimize systems and humanity’s enduring search for purpose, creativity, and meaning.