Using Cognition's SWE-1.7 article as a starting point, this article verifies what an AI-driven development resume note needs in order to restart long-running work, using a local verification script that does not call an external API.
A verification log on normalizing Langfuse Observations and Scores into ClickHouse, then using SQL to inspect model-level cost, prompt-version quality trends, and retry-driven cost increases.
A small implementation experiment combining Cloudflare Pages, Pages Functions, Workers AI bindings, and AI Gateway to build an AI chatbot without exposing model credentials to the browser.
A verification article on sending a generate, evaluate, feedback, and regenerate loop to Langfuse so the improvement path can be traced by attempt, not just by final output.
A small experiment on adding feedback, score, and metadata back to Cloudflare AI Gateway logs so LLM request logs can become the start of an evaluation loop.
A Flue 1.0 Beta verification note that compares normal prompting with explicit skill execution on the same issue input, separating finish completion, schema validation, and classification quality.
A validation note on sending a failed Eve weather-tool eval to Langfuse, comparing the failed run with a revised run, and improving the evaluation criteria.
A small verification of how coarse evaluation criteria can pass weak LLM output. This article shows how to treat rubrics and evals as operational assets that improve through failure logs.
Testing the Langfuse Assistant public beta against existing Sakana Fugu observations and ground truth calculated through the Public API.
Making a personal blog discoverable by AI agents as Perplexity and ChatGPT replace traditional search. Implementation of AIO (AI Optimization) with llms.txt, JSON API, and MCP Server design—decision criteria for a 46-post blog.
I implemented a minimal generate-evaluate-feedback-regenerate loop in a verification script. This post organizes the stop conditions and evaluation units that actually matter when stabilizing AI output.
A note on getting stuck with 'Unknown model specifier' in Flue 1.0 Beta by mixing up the actual model ID and the provider-id/model-id format.