How should human-in-the-loop (HITL) design be adapted when AI review volume…
How should human-in-the-loop (HITL) design be adapted when Artificial Intelligence (AI) review volume reaches the point where human reviewers become a throughput bottleneck or default to rubber-stampi…
What principles and governance practices enable sustainable, high-quality…synthesis
What principles and governance practices, spanning harness design, task selection, human oversight, and open-source software (OSS) ecosystem health, enable sustainable, high-quality software developme…
What strategies are effective for open-source software maintainers dealing with…
What strategies are effective for open-source software (OSS) maintainers in filtering, managing, and sustaining project health against a rising volume of low-quality Artificial Intelligence (AI) agent…
What are best practices for transparent, user-controlled context management in…
What are the best practices for transparent, deterministic, and user-controlled context management in Large Language Model (LLM) coding agent harnesses, and what are the demonstrable harms of opaque c…
Strategic versus tactical roles in Artificial Intelligence (AI)-augmented…
In an Artificial Intelligence (AI)-augmented software team, what is the optimal division of labour between the human developer, who owns strategic design, interface definition, and architectural overs…
Grill-Me technique: iterative structured interviewing for human and Artificial…
How effectively does the "Grill Me" technique, relentless iterative structured interviewing of the human developer by the AI assistant to build a shared design concept before generating any code, redu…
Human cognitive bias toward Artificial Intelligence (AI) correctness and…
To what extent do humans systematically over-trust AI-generated explanations, and what mechanisms, automation bias, RLHF-induced sycophancy in post-training, and the polysemantic nature of internal mo…
Artificial Intelligence (AI) agents as finishers and synthesisers
What agent configurations, prompt strategies, orchestration patterns, and tooling choices allow an AI agent (or agent team) to act as a reliable *finisher* and *synthesiser* - completing work that a h…
Interface and delivery
Once research is complete and outputs are produced, how should they be surfaced and delivered to the people (or agents) who need them? What interfaces make research outputs most usable?
Slack as a mobile memory capture and retrieval channel
Can a Slack bot in a personal or team workspace serve as a memory capture and retrieval surface? What is the minimum viable setup: slash command vs bot, incoming webhook vs Socket Mode, and does a fre…
Inbox folder pattern
Does removing the folder-selection decision from the capture path meaningfully reduce friction? Design and evaluate an `inbox/` folder pattern where: (a) any capture tool writes unstructured notes to…