Tomasz Kolinko rewrites LLM inference with the Effort Engine, ranking matrix multiplications by impact and running 30–50% effort for up to 3x speedups with near-full quality on 70B models. Watch the One-Shot episode for live MacBook inference and heat-map visuals showing outputs shifting as effort changes.
Praful Mathur trains a transformer on 100k+ vet-annotated bark sequences to infer dog emotion, intent, and early health metrics—~82% accuracy now, aiming >95% by Q2 2026. A privacy-first ESP32 Custom Collar Pod samples locally, uploads every five minutes, with owner/vet labeling.
Join One-Shot with Luke Harris (Head of Growth, ElevenLabs) as we dissect building the #1 WhatsApp MTP server with Apple Shortcuts, ElevenLabs’ Scribe near-human transcription/diarization, and low-latency, emotionally expressive voice agents. Learn growth angles in education, sales intelligence, and AI-first product development—and takeaways: automate where it hurts, start scrappy.
In this One-Shot interview, Atai Barkai of CopilotKit shares how to align agent tech with existing apps—focusing on developer and user experience. CopilotKit makes it easy to bring sophisticated agent capabilities into any app, regardless of framework. Packed with actionable insights for shipping AI products. Watch → https://youtu.be/yOOAt7riDow
In One-Shot with Steve Krenzel, learn to ship production AI fast using semantic search, RAG pipelines, and VSCode agents on blazing-fast infra; explore avoiding heavy frameworks, Logic automating 100K+ tasks/month with <2% error, and real AgentOps—three takeaways: no framework, effective RAG, and versioned agents.
Meet Evan Boyle on One-Shot as GenSX turns LLM chaos into React-style, type-safe components for long-running production agents with built-in tracing, caching, and durable execution. See a $4 self-modifying agent that checks out its repo, edits 3 K+ lines, runs tests, and pushes to GitHub.
In One-Shot, Kevin Leneway, principal engineer at Pioneer Square Labs, reveals his real AI-ship workflow—markdown checklists, agent coding, rubric-based UI design, and zero Figma—for spinning out 40 startups with prompting. Takeaways: promptable workflows scale faster than dev teams; rubrics for UI components and Storybook; agents that ship code.
Join Tanya Verma of Tinfoil in One-Shot as we explore end-to-end confidential AI protected by hardware-level encryption and secure enclaves—so the cloud can’t see your data. Learn open-source verifiability, no-trust security, and a simple switch from api.openai.com to Tinfoil’s endpoint for private AI.
On One-Shot, Vik K. of Moondream AI shows a tiny, 0.5B quantized vision-language model that runs locally—Raspberry Pi and air-gapped environments included—delivering VQA, object detection, captioning, and gaze detection without cloud. Learn edge-friendly prompts, fast inference, HuggingFace compatibility, and gaze-to-UI automation.
Meet Composio: an API-first framework that turns LLMs into autonomous agents by orchestrating 250+ tools securely at scale. In this One‑Shot episode with Karan Vaidya, learn how authentication, tool management, and multi‑user workflows unlock action, not just discussion. Watch the YouTube episode now.
