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Life Orchestration: When the Assistant Manages the Manager

by iqentity | May 16, 2024 | Development, Tessera

The remediation and professional support capabilities are what justify building Tessera. The life orchestration capabilities are what make it indispensable. There is a difference between a tool you use when something breaks and a system you rely on to keep things from...

Meta-Heuristics Over Domain Expertise: What Tessera Actually Learned

by iqentity | May 14, 2024 | Development, Tessera

Four months into development, and the extraction results are revealing something I suspected but could not prove until the data confirmed it. Tessera’s real value is not domain expertise. It is meta-heuristics. What Are Meta-Heuristics Meta-heuristics are the...

Why Most Personal AI Fails: The Coherence Requirement

by iqentity | May 3, 2024 | Development, Tessera

I have been studying other attempts at personal AI systems, and I now understand why they disappoint. The failure is not technical. It is data quality, and specifically, coherence. The Fragmentation Problem Most people who attempt personal AI have data that fragments....

The Embedding Strategy Revisited: Why Generic Embeddings Fail for Personal Knowledge

by iqentity | May 2, 2024 | Development, Tessera

I started with off-the-shelf embedding models. They are trained on web-scale data and produce excellent general-purpose vector representations. They also systematically fail on personal knowledge in ways that took me weeks to diagnose. The problem is domain...

Incident Replay: Teaching Tessera to Walk Me Through What Happened Last Time

by iqentity | Apr 23, 2024 | Development, Tessera

The single most valuable capability in technical remediation is precedent recall. Not “find me a document about Exchange failures” but “walk me through exactly what happened the last time we had a mail flow failure at a financial services client,...

The Enrichment Pipeline: Where Raw Data Becomes Useful Knowledge

by iqentity | Apr 16, 2024 | Development, Tessera

Raw artifacts are useless to Tessera. An email is a sequence of characters. A PDF is a layout specification. A meeting note is unstructured text. The enrichment pipeline transforms these raw inputs into structured knowledge that the retrieval system can actually work...
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