01 / GENERAL CHAT
Answers a prompt
A person brings the question, files and follow-up decisions each time.
Specialized AI Workers for repeated work
AgileNet builds focused AI Workers around defined business, learning and video workflows. Start with approved context, follow a visible process, and keep a human at the decision boundary.
Approved context
Management update
Delivery signals requiring attention
Decision needed
Scope dependency remains unresolved.
On track
Review package prepared for Friday.
Why a worker, not another chat tab?
ChatGPT, Copilot and cloud tools can each be useful inputs. A purpose-built AI Worker adds the agreed business signal, approved context, checks, output format and human decision boundary.
01 / GENERAL CHAT
A person brings the question, files and follow-up decisions each time.
02 / CONFIGURED AGENT
Skills, connectors and prompts help, but the operating path remains broadly defined.
03 / AI WORKER
Approved sources, domain checks and a reviewable artifact are designed around a specific repeated problem.
Scoped during discovery
Microsoft 365SpreadsheetsBrowser toolsApproved APIsReviewable artifactHuman approvalOne workflow, made visible
Reporting work often starts across notes, tools, decisions and messages. A focused worker can assemble the evidence, flag gaps and prepare a consistent artifact without hiding how it arrived there.
Explore the workflow patternUse only agreed documents, systems, video or browser context.
Apply workflow checks, evidence rules and a bounded objective.
Return a report, evidence pack or draft with traceable support.
Keep approval, sensitive actions and final decisions with people.
Current portfolio
Stage labels show what can be used now, what is guided, and what is still being validated.
WORK / 01
Turn approved operational context into management updates, action drafts and evidence-backed follow-up.
View team workflowVIDEO / ACTIVE PRODUCT
Upload a long recording, describe the moments you need, then review focused clips before download or publishing.
Try ClipIntent now (opens in a new tab)Public alpha opens in a new tab. Features and processing times may change.Setup and constraints
01:14Working example
00:52Final recommendation
01:08LEARNING / TWO-WORKER JOURNEY
Prepare for a specific role using your CV and target vacancy. First strengthen your answers with focused coaching, then rehearse the interview in a realistic, role-specific simulation.
Request an interview training demo Interview Training + Interview SimulationLEARNING / 03
Personalised English practice, correction drills and guided reading in the AgileNet Live Preview.
Request an AI Live PreviewImplementation to product
Define the repeated problem, approved context and useful output.
Use synthetic or approved samples and agree evaluation points.
Test usefulness with read-only access and explicit human review.
Turn repeatable logic, artifacts and controls into worker packs.
Evidence, not theatre
ClipIntent can be tried today. AgileNet Core and the browser extension remain closed testnet surfaces shown through guided demonstrations.
A practical first step
We will identify the inputs, review points and useful output before discussing a build.