AI AGENT PORTFOLIO / EDISON, NEW JERSEY

Eight AI systems.
One practical direction.

AI Gaur builds agents around real work: research, publishing, monitoring, decision support, and marketing operations. This portfolio shows what exists, its current status, and the evidence still being added.

DIRECT ANSWER

What has AI Gaur built?

AI Gaur LLC has built or delivered eight mapped AI agent systems across content operations, legal intelligence, market research, web research, speaking assistance, and digital marketing.

The company is based in Edison, New Jersey. Portfolio entries use explicit status labels so a prototype, a reported active workflow, and a verified production system are never presented as the same thing.

THE EVIDENCE LEDGER

Systems, status, and boundaries.

Every entry connects to a product profile or the capability used to build it. Detailed metrics appear only after they can be supported.

01

Content operations

Healthcare Content Agent

Researches official healthcare sources, checks recent titles, applies editorial gates, and publishes through a dedicated WordPress author workflow.

Production verified

Successful production publications and the permanent VPS schedule were verified.

Explore AI automation
02

Client delivery

Real Estate Content Agent

A scheduled content workflow built for a real-estate use case, with publishing logic and a defined destination.

Reported active · fresh check pending

The workflow was marked active on the earlier n8n server; a current successful run still needs to be captured.

See n8n automation
03

Content operations

NY/NJ Fan Content Agent

A regional content workflow designed to turn approved topics and source material into scheduled publishing tasks.

Reported active · review pending

Runtime and public-ownership evidence are being refreshed before this becomes a full case study.

Explore digital marketing
04

Legal intelligence

Daily Legal Source Watch

Monitors 13 official legal sources and supports the source-review process behind the LegalCalc product.

Reported active

The latest run was reported on October 9, 2026; scheduler evidence and a sample alert remain to be added.

View LegalCalc
05

Market research

AI Market Signal System

Scans US and Indian equities, combines technical indicators with AI news analysis, and produces ranked research reports.

Internal system · daily operation

An internal research system with paper and approval modes. No investment returns or performance outcomes are claimed.

Read the system profile
06

Web research

AIDular Research & Email Agent

Runs scheduled web research, fetches source URLs, keeps execution history, and prepares automated email delivery.

Built · live delivery check pending

The product source verifies the core workflow; a current end-to-end scheduled delivery test is still required.

Explore enterprise AI agents
07

Speaking assistance

AI Teleprompter & Speaking Copilot

Tracks a speaker locally, follows a script, and can use Claude to stream suggested talking points during a conversation.

Working prototype

Voice tracking stays on the device. Transcripts leave the device only when the optional AI copilot is enabled.

Read the prototype profile
08

Advertising operations

AIDigiM Marketing Agent

Reads a business, drafts Google Ads campaigns, and is designed to operate within owner-defined spend caps and approval rules.

In development

OAuth, campaign-generation, paused-campaign creation, and approval-oriented launch controls are implemented.

View AIDigiM

Evidence policy. “Reported active” records the latest available operating status. “Production verified” requires a captured successful execution or publication. Client identities stay anonymous until publication permission is clear.

WHAT THIS MEANS FOR CLIENTS

Capability grounded in operating work.

These systems demonstrate a repeatable path from source material to a controlled action, with evidence at each stage.

01

Connect the workflow

Forms, websites, WordPress, email, APIs, scheduled jobs, and approved business systems.

02

Add useful intelligence

Research, classification, drafting, summarization, recommendations, and structured decision support.

03

Keep ownership visible

Approvals, permissions, logs, exceptions, monitoring, and a named person responsible for the result.

04

Make the work discoverable

Clear web content, structured information, and connected pages for search engines and answer systems.

PUBLIC OPERATING TARGETS

From evidence now
to impact at scale.

These are targets, not current achievements. We will update them as systems are verified, customers approve case studies, and measured outcomes become available.

NEAR-TERM MILESTONE
BY DEC 31, 2026

Make the current work verifiable.

8AI Gaur agent systems documented
5systems with current operating evidence
3evidence-backed case studies published
5active customers supported
2live AI-enabled products maintained
100%of production agents with monitoring and ownership
LONG-TERM DIRECTION
BY 2030

Build a focused AI product and delivery company.

50active business customers
100production agents and automations deployed
5AI-enabled products operated
25verified customer case studies
25,000documented customer hours saved annually
15people across product, engineering, growth, and operations

Questions worth asking.

How many AI agent systems has AI Gaur built?

AI Gaur has mapped eight systems with a documented AI Gaur product, internal-operation, or client-delivery relationship. Five are active or reported running, two are built systems or working prototypes, and one is in development.

Are all eight AI agents running in production?

No. The portfolio labels each system separately. One publishing workflow has directly verified production evidence; other systems are reported active, built, prototypes, or in development. AI Gaur does not describe all eight as production deployments.

What kinds of AI agents does AI Gaur build?

The current portfolio spans content operations, legal-source monitoring, web research, market research, speaking assistance, and advertising operations. Client systems are scoped around approved data, connected tools, review steps, and measurable operating outcomes.

Where is AI Gaur based?

AI Gaur LLC is based in Edison, New Jersey, and delivers projects remotely across the United States. Edison is the company’s registered and operational location.

How does AI Gaur keep people in control?

Production designs define permissions, approval steps, exceptions, logging, and ownership before an agent can act. The exact controls depend on the data, tools, and risk of the use case.

Are the 2026 and 2030 numbers current achievements?

No. They are public operating targets. Current portfolio status is shown separately so planned milestones are not confused with achieved results.

BUILD WITH AI GAUR

Where should AI
create value next?

Show us the repetitive work, disconnected tools, or slow decision. We’ll help define a useful AI system and the controls it needs.

Discuss your workflow