Norsk Reasoning
Norsk Reasoning is the runtime bridge between your live workflows and the LLM of your choice — Claude, Gemini, GPT, or your own. It hands live context to the model and turns the model's decisions into action: inserting an SCTE-35 marker, switching a shot, flagging a quality problem, adjusting a workflow mid-stream.
Reasoning is one part of Norsk's AI story, not the whole of it. The rest is architectural: interfaces and documentation defined by the code itself, disciplined context management, and MCP support across the platform — so AI is useful at design time and build time, not just at runtime.
How it works
From intent to live pipeline decision — without a rules tree to maintain or an operator to route through.
Write your detection intent the way you would brief a producer: 'flag natural breaks in play for ad insertion,' 'detect when audio drops below threshold,' 'alert when the score graphic is obscured.' A planning model generates a structured analysis specification. For production use, bake the validated spec — locked behaviour, production-safe, no surprises on a live event you cannot rewind.
An evaluation model runs your specification frame by frame at a configurable interval. It generates a continuous stream of structured events — content classifications, moment detections, quality assessments — from what it sees and hears. Every event is observable: you know what the AI saw and what it concluded.
AI events become first-class workflow triggers. Source switches, SCTE-35 ad markers, overlay changes, packaging adjustments, downstream API calls — triggered automatically, in real time, without human routing. Override is always available. For the scenarios you have planned and validated, no one needs to be watching.
Use cases
The operations that benefit most are those where channel count or coverage hours have outrun what a staffing-based monitoring model can sustain — and where ad revenue or reliability consequences are measurable.
A sports broadcaster running regional channel feeds overnight staffs three-person monitoring shifts for streams that generate modest overnight revenue. Coverage hours grow with channel count. The staffing model grows with it. Internally it gets framed as a resourcing question. It is not a resourcing question.
Norsk Reasoning runs continuously against the overnight feeds — detecting signal anomalies, source quality issues, and programme breaks. Events trigger automatic failover and ad insertion without operator intervention. The monitoring shift is eliminated for the overnight window. The coverage continues.
Talk to us about your overnight coverage →A broadcaster scheduling ad breaks on a fixed interval knows breaks are cutting into active play. CPM rates on interrupted breaks are lower. Viewer drop-off at interruption-point breaks is measurable. The revenue difference between a well-timed break and a badly-timed one is calculable — and the CFO has the data. Operators can't catch natural breaks manually at the speed the live feed requires.
Norsk Reasoning detects natural breaks in play and triggers SCTE-35 ad markers at the right moment automatically. Breaks land at genuine programme pauses. CPM improves. The ad revenue conversation changes.
Talk to us about your ad workflow →A streaming operator builds and maintains a rules engine for automated production decisions over three years. It works until the programme format changes — at which point it requires engineering time to patch. The patches accumulate. The maintenance overhead absorbs the engineering capacity the system was supposed to free. The rules engine becomes the problem it was supposed to solve.
Norsk Reasoning replaces the rules engine with a natural language specification that updates without an engineering change. When programme format changes, detection intent is updated in plain language, evaluated against a test feed, and baked. The baked spec runs in production with the repeatability the rules engine promised and did not deliver.
Talk to us about your automation setup →Capabilities
Every function available via API. Integrate Norsk Reasoning into your production control and monitoring stack — or run it autonomously for coverage windows that do not justify staffing.
Every other AI tool in your stack detects events and surfaces them to an operator to act on. Norsk Reasoning closes the loop: detection triggers workflow action inside the pipeline, without a human routing step. The operator reviews decisions made — rather than watching for events that may not happen.
For production use, bake the validated analysis specification. The baked spec is locked — the same behaviour on every live event you cannot rewind. Update detection intent in plain language, evaluate against a test feed, and bake again when requirements change. No engineering change required.
Detect genuine programme breaks — pauses in play, scene transitions, speaker changes — and trigger SCTE-35 ad markers at the right moment automatically. Ads inserted at natural breaks outperform timed breaks in CPM and viewer retention. The CPM difference is calculable before and after.
Run overnight or low-revenue coverage windows without an operator in the room. Norsk Reasoning detects anomalies, triggers failover, fires alerts for genuine exceptions, and executes production decisions automatically. Override is always available. Staff for the events that require it.
AI-generated events connect directly to Studio workflow nodes — source switches, SCTE-35 markers, overlay changes, packaging changes, or calls to any downstream API. No custom integration layer required. Every event is structured and observable: you know what the AI saw and what it triggered.
The lower-third that sits cleanly on a wide shot covers the ball in a close-up. Fixed overlay positions work for one camera angle and break on another. Norsk Reasoning detects content context frame by frame and repositions picture-in-picture overlays and lower-thirds in real time — no operator repositioning required.
Run analysis via Gemini (API or Vertex AI), OpenAI, Claude, or local models. Provider flexibility is a procurement option, a data sovereignty mechanism, or a cost management strategy — depending on your organisation's requirements. Context documents can be provided to any provider for context-aware decisions.
Book a demo to see natural break detection and automatic ad insertion running in a realistic workflow — not a controlled environment. Or tell us about a specific coverage window and we will show you what the detection spec looks like for your content.
Book a demo