In Action
Real automation demos showing how AI removes friction and gives teams their time back.
This page is the working footage. Short, unedited screen recordings of agents and workflows we have actually built, running on the same stacks our clients use. If you want the polished portfolio of shipped products, that lives on Built Live.
Every clip below is annotated with three things: what you are watching, the underlying stack, and the time the workflow removes from a human. Nothing here is a mock-up, a vendor demo, or a future feature. If it is in the video, it runs today.
AI Support Agent Handling Overflow
A screen recording of an AI support agent answering repetitive customer questions in real time, with a confidence threshold that escalates anything ambiguous to a human.
- What you're seeing
- An inbound enquiry hits the queue, the agent retrieves the right policy snippet, drafts a reply grounded in the source document, and either sends or hands off depending on confidence.
- Stack
- Grounded RAG over policy and FAQ documents, with a human-in-the-loop escalation rule.
- Time it removes
- Removes around 60 to 70 percent of tier-one volume from human agents during peak windows.
LinkedIn Content Analysis
A Relay.app agent reads a curated set of LinkedIn posts, extracts the angles that are actually getting traction, and writes them into a content brief for the team.
- What you're seeing
- The agent ingests fresh posts each morning, classifies them by theme, scores engagement signals, and pushes a shortlist of angles plus a draft hook into the content workspace.
- Stack
- Relay.app workflow, LLM classification with a defined rubric, structured output into a shared doc.
- Time it removes
- Replaces around two hours per week of manual scanning and saves the team from missing relevant angles.
Email Info Extraction
A Relay agent watches a shared inbox, extracts the structured fields the business actually needs, and writes them straight into the system of record. No rekeying.
- What you're seeing
- An inbound email arrives, the agent identifies the entity, pulls reference numbers, dates and amounts, validates them against a schema, and pushes the result into the CRM or claims system.
- Stack
- Relay.app trigger, structured extraction prompt with JSON schema validation, write-through to the system of record.
- Time it removes
- Removes roughly 10 to 15 minutes of admin per email and eliminates a category of typo and missed-field errors.
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