Specialized AI Workers for repeated work

Turn context-heavy workflows into reviewable outcomes.

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.

Guided B2B scoping availableClipIntent in public alphaInterview readiness in private validation
Synthetic demonstrationReady for review

Approved context

01Weekly notes12 items
02Project board8 changes
03Team decisions4 records

Management update

Delivery signals requiring attention

v0.3

Decision needed
Scope dependency remains unresolved.

2 sources

On track
Review package prepared for Friday.

3 sources
Evidence attached

Why a worker, not another chat tab?

Use familiar AI and tools inside a workflow people can actually review.

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

Answers a prompt

A person brings the question, files and follow-up decisions each time.

02 / CONFIGURED AGENT

Uses tools and instructions

Skills, connectors and prompts help, but the operating path remains broadly defined.

03 / AI WORKER

Owns one defined work path

Approved sources, domain checks and a reviewable artifact are designed around a specific repeated problem.

Scoped during discovery

Microsoft 365SpreadsheetsBrowser toolsApproved APIsReviewable artifactHuman approval

One workflow, made visible

From scattered context to a reviewable management update.

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 pattern
01

Approved inputs

Use only agreed documents, systems, video or browser context.

02

Defined work path

Apply workflow checks, evidence rules and a bounded objective.

03

Reviewable artifact

Return a report, evidence pack or draft with traceable support.

04

Human boundary

Keep approval, sensitive actions and final decisions with people.

Current portfolio

Different workflows. One disciplined worker pattern.

Stage labels show what can be used now, what is guided, and what is still being validated.

Available for guided scoping

WORK / 01

Reporting and follow-up

Turn approved operational context into management updates, action drafts and evidence-backed follow-up.

View team workflow
WEEK 323 signals
Public alpha

VIDEO / ACTIVE PRODUCT

ClipIntent

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.
18:42 / 52:10
Find moments aboutthe practical setup and final recommendation
08:51

Setup and constraints

01:14
24:36

Working example

00:52
41:12

Final recommendation

01:08
Private validation

LEARNING / TWO-WORKER JOURNEY

Interview Readiness

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 Simulation
Prototype demonstration

LEARNING / 03

English Tutor

Personalised English practice, correction drills and guided reading in the AgileNet Live Preview.

Request an AI Live Preview

Implementation to product

Start narrow. Learn what repeats. Productize what proves useful.

  1. 01

    Review the workflow

    Define the repeated problem, approved context and useful output.

  2. 02

    Build a bounded proof

    Use synthetic or approved samples and agree evaluation points.

  3. 03

    Run a guided pilot

    Test usefulness with read-only access and explicit human review.

  4. 04

    Reuse validated patterns

    Turn repeatable logic, artifacts and controls into worker packs.

Evidence, not theatre

One open product. Several controlled surfaces.

ClipIntent can be tried today. AgileNet Core and the browser extension remain closed testnet surfaces shown through guided demonstrations.

See company and product stage
OPENClipIntentPublic alpha · video workflow
GUIDEDAgileNet CoreClosed testnet · worker setup and artifacts
GUIDEDBrowser ExtensionClosed testnet · browser context and controlled actions

A practical first step

Bring one repeated workflow.

We will identify the inputs, review points and useful output before discussing a build.

Request a workflow review