LayerX
LayerX
AI podcast for the teams and leaders building with it. We share real use cases, experiments, and insights on how to apply AI to your business. Made by the team at LayerX.
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Episodios
Why 80% of AI projects never reach production 07.07.2026
Four in five AI projects never reach production. The problem isn't technology or talent. It's structural execution gaps that organizations consistently miss.
Inside the Multi-Agent orchestration architecture behind the TAIKAI AI Arena 01.07.2026
How we built the TAIKAI AI Arena: a deterministic orchestrator with no LLM, a model-agnostic runtime that routes ten frontier models through one adapter, isolated Docker sandboxes, an MCP integration, and three kinds of judge.
We ran a hackathon where 10 AI Agents built and judged each other 24.06.2026
LayerX ran an AI agents hackathon: 10 frontier models built a real app from one brief, then peer-judged each other. The results say more about shippability than any benchmark.
How to Control LLM Output: Temperature, Top-P & Beyond 15.06.2026
Control LLM output with temperature, top-p, penalties, and logprobs to ship reliable AI automation. A practical field guide with a per-task cheat sheet
We entered Fixathon as hackers. We left as winners. 31.05.2026
How a 3-person LayerX team with no ML background won Fixathon, building Cadence: an explainable AI model that predicts factory production time from panel data.
Coding with AI Agents: the 20% nobody talks about 26.05.2026
Coding agents write 80% of the code. The other 20% is engineering, and it matters more than ever. Eleven lessons from building with agents at LayerX.
Everyone talks about taste. It's all about trust. 25.05.2026
Taste differentiates your product. Trust determines whether anyone actually uses it for what matters.
The highest ROI activity in AI right now isn't on your screen 17.05.2026
Why the best opportunities in AI keep coming from rooms, not feeds. What two days at SIM Conference actually taught me.
The new CMO is a systems architect 11.05.2026
The job of a senior marketer has shifted from managing people to designing systems.
The next great software company won't sell software 05.05.2026
AI is shifting from copilots to autopilots. Why selling outcomes beats selling tools, and how we're building LayerX for the Service as a Software era.
Giving our blog a voice: how we turned posts into audio with open models, locally, on a Mac 29.04.2026
How we turned every LayerX blog post into an audiobook-style narration using open-source TTS models (Kokoro, Qwen3 TTS) running locally on Apple Silicon with MLX. No cloud, no per-character billing, no third-party data exposure.
Why I Stopped Using Other People's AI Agents and Built My Own 15.04.2026
The story of building Eva, a personal AI assistant that lives where my conversations already happen.
Fine-Tuning a Small LLM for Customer Support Pt. 1 13.04.2026
A hands-on guide to generating synthetic training data from FAQs, fine-tuning Qwen3-4B with LoRA on Apple Silicon, and serving the model locally with llama.cpp
Are We Building the Perfect Finance Infrastructure for Machines? 01.04.2026
After a week at EthCC Cannes 2026, a provocation: Web3's complex, unreadable interfaces aren't a UX failure, they're a feature.
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