Slides: User Signal Dies at the Retrieval Boundary - Sonam Pankaj, StarlightSearch
Source Video
User Signal Dies at the Retrieval Boundary - Sonam Pankaj, StarlightSearch
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.
Extracted Slides

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
User Signal dies at the Retrieval Boundary.
Sonam Pankaj
CEO & Co-Founder StarlightSearch

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
What is an agent?
An agent is an LLM with agency: it reasons, invokes TOOLS to interact with the world, RETRIEVES from memory, and loops until the TASK is complete.

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
What is an agent?
An agent is an LLM with agency: it reasons, invokes TOOLS to interact with the world, RETRIEVES from memory, and loops until the TASK is complete.

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
Retrieval is Static
Context Stuffing

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: agent_vision.
- OCR decision: ready — Diagram slide with multiple small text blocks and labels; OCR should extract the body copy more reliably than direct transcription.
Slide text:
The missing layer between evals and action

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- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
The GAP
It has no access to why yesterday's runs passed or failed. The eval signal dies in a dashboard.
This is the missing layer: a system that consumes traces, absorbs eval outcomes, and converts both into retrievable guidance for future runs.

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.97 - Text source: advanced OCR
rapidocr-live/bright-screen/opencv-adaptive. - OCR decision: ready — Dense table and small text are better handled by OCR than manual transcription.
Slide text:
In practice, most agent memory frameworks have focused on user continuity: preferences, profile facts, conversation history, and long-lived personalization.
chat experiences is not self-improving learning system for production agents. *
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- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
Memory as Reasoning

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- AI slide classifier:
content_slideconfidence0.93 - Text source: advanced OCR
rapidocr-live/bright-screen/contrast. - OCR decision: ready — Browser screenshot with chart labels and small UI text is better suited to OCR.
Slide text:
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- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.94 - Text source: advanced OCR
rapidocr-live/right-72/contrast. - OCR decision: ready — Screenshot has small chart labels and benchmark numbers that OCR can read more reliably than vision transcription.
Slide text:
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- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.94 - Text source: advanced OCR
rapidocr-live/bright-screen/contrast. - OCR decision: ready — Screenshot has small chart labels and benchmark numbers that OCR can read more reliably than vision transcription.
Slide text:
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AentRTX

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
Limitations
Cold Start
Utility Drift
Review quality
Lambda

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
4. Agentbench
AgentRTX 61.3
Mem0 58
RAG 47
Baseline 35.7
AgentRTX 98
DSPy 82
Baseline 57

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.88 - Text source: advanced OCR
rapidocr-live/border-trim/contrast. - OCR decision: ready — Dense product UI screenshot with many small text elements and interface labels that OCR can capture more reliably than manual transcription.
Slide text:
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Hidden Non-Slide Evidence
- `slide-013.jpg` —
demo_videoconfidence0.98; Code editor and terminal demo footage, not a presentation slide. - `slide-014.jpg` —
demo_videoconfidence0.98; Browser product demo with webcam inset, not a slide. - `slide-016.jpg` —
demo_videoconfidence0.98; Code editor demo footage with terminal prompt, not a slide. - `slide-017.jpg` —
demo_videoconfidence0.98; Browser dashboard demo footage with webcam inset, not a slide. - `slide-018.jpg` —
demo_videoconfidence0.98; Browser reflection/details demo footage with webcam inset, not a slide.
Classification audit: raw/sources/slide-ai-classification/slides/Jx4ZFEAq6bY/audit.json
Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.