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Query Classification: Teaching Tessera to Understand What I Actually Need

by iqentity | Mar 14, 2024 | Development, Tessera

The same words can mean completely different things depending on what I am trying to accomplish. “What happened with the Meridian project?” could be a request for a status summary, a root cause analysis of a failure, a chronological timeline, or a...

From Timeline to Lattice: How Decisions Form a Graph

by iqentity | Mar 9, 2024 | Development, Tessera

A breakthrough in the conceptual architecture this week. I have been thinking about how to structure Tessera’s internal representation of my decision history, and the answer is not a timeline. It is a lattice. Why Timelines Fail A timeline tells a story. First...

Building the Graph: Relationships Are the Architecture

by iqentity | Mar 5, 2024 | Development, Tessera

The knowledge graph is Tessera’s nervous system. Vector embeddings capture what things mean. The lexical index captures what things say. The graph captures how things relate. And relationships, not content, are what make a life assistant possible. I spent three...

Local LLMs and Tessera: Why I Will Never Call an External API

by iqentity | Feb 27, 2024 | Development, Tessera

The AI industry’s default assumption is cloud. Need language understanding? Call OpenAI. Need embeddings? Hit the API. Need synthesis? Send your text to someone else’s server and trust their terms of service. Tessera will never do this. Not as a...

The Air-Gap Decision: Why Tessera Will Never Phone Home

by iqentity | Feb 23, 2024 | Development, Tessera

I made the architecture decision that will define Tessera’s deployment model. The system will be designed from the ground up for air-gapped operation. No external network dependencies. No telemetry. No cloud services. Everything runs locally, on hardware I...

The Memory Architecture: How Tessera Remembers What Matters and Forgets What Does Not

by iqentity | Feb 22, 2024 | Development, Tessera

Human memory is not a database. It is a lossy, reconstructive, emotionally weighted system that prioritizes differently depending on context. The best moments of engineering Tessera have been the moments where I stopped trying to build a perfect recall system and...
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