Trellis Monitoring Agent - protect your brand with autonomous agents
Table of Contents
We’re excited to introduce the Trellis Monitoring Agent, available in NewsWhip by Sprout Social.
This is an always-on agent that detects meaningful shifts early and delivers structured, analyst-quality updates, so you can stay ahead of developing issues without constant manual triage.
This article explains what the Trellis Monitoring Agent does, how it works, and how to get the most value from it.
What are the benefits?
Media monitoring has become increasingly challenging. News cycles are faster, sources more fragmented, and reputational stakes higher than ever. Traditional tools can’t keep pace in an environment where minutes matter and it’s no longer feasible to manually monitor and triage at scale.
Our Monitoring Agent is specifically designed for this environment, providing instant, analyst-quality alerts that not only highlight emerging stories but determine whether they’re worth your attention, cutting through the noise to deliver only what matters and why.
How do the Monitoring Agents work?
Monitoring Agents are intelligent, autonomous systems that continuously monitor a single NewsWhip search. You can set up multiple agents across different searches to cover the issues, brands, and topics your team needs to stay ahead of.
The experience is built around three core capabilities: Critical Signals, Instant Workspace, and Active Memory. Together, these give you earlier warning, a faster way to work issues, and more reliable updates as stories evolve.
Critical Signals: Many high-stakes issues start quietly. A regulator publishes an update, a government body posts a notice, or a specialist outlet breaks a story before it becomes mainstream. Critical Signals is the agent’s ability to prioritise these early warning signs by paying close attention to high-stakes sources, alongside rising attention signals that indicate when a story is likely to accelerate.
Instant Workspace: When a meaningful development is detected, the goal is to help you move from alert to understanding without scrambling. Instant Workspace is the agent’s ability to open a ready-made space around the issue so you can quickly see what’s driving the change and keep tracking it as the story evolves. This turns what is usually a manual workflow into a faster, more repeatable way to work an issue in the moment.
Active Memory: Updates are only helpful if they stay relevant. Active Memory is the agent’s ability to remember what it has already surfaced, and to only return when there is a meaningful new development, rather than repeating near-duplicate updates as a story churns. The result is fewer interruptions, less alert fatigue, and updates that feel more like a considerate analyst than a threshold-based notification stream.
Integrating Agents into your workflow
As we further refine and expand the capabilities, you'll see continuous improvements in relevance, depth of insight, and automation. We recommend adopting agents alongside your existing alerts and digests to build trust and familiarity:
- Digests are for reflection (looking back at key summaries).
- Agents are for immediate response (flagging emerging risks early).
Initially, we suggest running agents in parallel with traditional workflows. As you become confident in their capabilities, you can gradually shift towards a more autonomous approach. You can choose to gradually add other recipients to receive these alerts.
NewsWhip's application of AI and GPT-technology
NewsWhip adheres to the guidelines set by the CIPR, reflecting our commitment to upholding the highest standards of ethical AI use.
FAQs – Understanding AI Agents
Q: What is a Monitoring Agent exactly?
A Monitoring Agent is an intelligent system that proactively monitors topics or events in real-time. Unlike standard alerts, agents actively investigate shifts in media interest and determine whether they warrant your immediate attention. They function like analysts, providing structured, contextual updates rather than just notifications.
Q: How are Monitoring Agents different from AI Digests?
Generally, Digests are retrospective and reflective, whilst agents are forward-looking and responsive.
Monitoring Agents actively monitor in real-time and alert proactively. They help you respond immediately to emerging risks or changes.
AI Digests provide scheduled summaries of past activity, helping you review and understand broader trends after the fact.
Q: How does the ‘Team name’ affect my Agent?
This field is automatically filled from your account information for efficiency. The Monitoring Agent uses this alongside your other information to evaluate whether emerging issues are relevant to your company or brand.
For example, if your company is Renault and your search is for Renault Group, the agent assesses media spikes against how relevant they are specifically to Renault, as opposed to general industry news.
Q: Can we have more than one Agent per search?
No, each agent is linked directly to a single search to ensure clarity and consistency in monitoring. If you have multiple critical searches, set up separate agents for each.
Q: How often do Agents check for updates?
Agents continuously run every few minutes to detect meaningful changes as quickly as possible.
Q: What does the Agent consider a “meaningful” change?
Agents use adaptive logic, not fixed thresholds, to detect changes. They compare current activity against recent patterns, considering natural fluctuations like time of day or typical volume changes. A spike must significantly stand out in context to trigger an investigation.
Importantly, this context is specific to your search. That means the Monitoring Agent can still detect meaningful changes in low-interest or niche topics.
Q: Can I forward Agent alerts to stakeholders or executives?
Yes. You can directly add stakeholders as recipients of alerts, or simply forward received emails. Alerts are structured clearly, enabling stakeholders to quickly understand the issue without needing additional reports or context.
Q: What should I do if I receive irrelevant or repetitive updates?
If updates seem irrelevant, it often means your underlying search criteria might be too broad or not clearly defined. Try refining your searches and relying on clearer search terms to help resolve this.
Q: Does NewsWhip use my data to train AI models?
No. Your data is never used to train our AI models. Alerts and analysis are generated based solely on real-time, publicly available media coverage relevant to your defined topics.
Q: How do agents handle syndicated content to avoid false alerts?
The Monitoring Agent is designed to recognize syndicated articles and currently employs strategies to minimize repetitive alerts. We are continuously improving this to better handle syndicated content, and feedback from users will be critical in refining this capability.
Q: How does NewsWhip ensure accuracy and minimize hallucinations?
Our AI prompts are strictly controlled to reduce inaccuracies or irrelevant content (hallucinations). All insights are grounded in real articles and clearly linked, allowing verification directly from the source.
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