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Your First Personal AI Agent: A Focused Weekend Build — a warm cream technical schematic shows current-week meeting notes constrained by an agent contract, optionally checked against one read-only source, transformed into a structured priorities draft, and stopped at a human approval boundary before any external action; visual direction: idea: a first personal AI agent produces a reviewable weekly-priorities draft from tightly bounded meeting notes, with no autonomous external action; subject: focused personal AI-agent weekend build; mechanism: current-week notes pass through a clearly labelled contract boundary and one limited read-only lookup into a structured priorities draft, then stop at an explicit human approval gate before any external-action area; composition: landscape editorial explainer card with the exact title large across the upper third and a lower left-to-right paper-like workflow schematic, ending at a prominent approval stamp boundary and a muted crossed-out external-action zone; palette: warm cream background, charcoal typography, oxblood red boundary accents, muted olive green for approved draft, dusty apricot for source notes, slate gray connectors; exclusions: dark navy, neon-blue glow, floating UI cards, network nodes, generic AI circuitry, people, robots, hands, dashboards, physical-machine metaphors, decorative charts, logos, secondary readable text.

AI Agents, Artificial Intelligence

Your First Personal AI Agent: A Focused Weekend Build

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Build an AI Agent Evaluation Flywheel That Improves Prompts — a text-free circular technical schematic shows recorded agent traces being separately evaluated for outcomes and trajectories, classified into recurring failure types, turned into prompt candidates, and checked against development, hold-out, and regression cases before feeding evidence back into the next run. Visual direction: idea: a trace-aware evaluation loop turns recurring agent failures into verified prompt changes; subject: AI agent evaluation flywheel; mechanism: captured tool traces flow through separate outcome and trajectory evaluation, failure taxonomy, prompt variants, and hold-out/regression verification with a safety gate; composition: a single clockwise five-stage circular schematic with evidence records at the top and a verification boundary closing the loop; palette: warm off-white, graphite, deep forest green, muted rust, clay orange, restrained golden yellow; exclusions: dark navy, neon-blue glow, floating UI cards, network nodes, generic AI circuitry, people, robots, logos, readable artwork text.

AI Agents, Artificial Intelligence

Build an AI Agent Evaluation Flywheel That Improves Prompts

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“ Design is not just what it looks like and feels like. Design is how it works. “

Alpesh Kumar

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