Tomi Abe | AI Builder | AI Deploy Network

About Tomi

Creative Technologist and Strategic Creative and Digital Leader with 10+ years connecting design, technology, product thinking, and digital strategy. Builds digital products, web experiences, creative tools, brand systems, and data-driven platforms across startups, enterprise environments, consultancies, and independent practice. Works fluently across design engineering, UX, web development, AI-assisted workflows, CMS, digital experience, and visual systems, turning complex requirements into clear, usable products.

Professional profile

Location: Sydney, NSW, Australia
Time zone: Australia/Sydney
Availability: Available Now
Languages: English
Typical response: Within 24 hours
Available in: Australia

Proven on the network

Implementation records and publicly available work, where published.

2 AI Deployments delivered, including 2 publicly identified implementations available to inspect.

What Tomi builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

AI Agents

AI Evaluation & Testing

Conversational AI

Knowledge Assistants

RAG & Knowledge Retrieval

Builder-listed deployment types

AI Agent
AI Evaluation Framework
Customer Support Agent
RAG System
Semantic Search
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Ask Susinsight: a retrieval grounded research assistant for African sustainability reporting

Ask Susinsight is a research assistant on susinsight.com that answers questions about sustainability and development in Africa using only the publication's own reporting, with links back to every source story.

Media & Entertainment · AI Agent · Customer Support Agent · RAG System · Semantic Search

View Deployment

02 / AI DeploymentPublished record

Polish: self-hosted UI review for code, copy, and rendered screens

Polish is a self-hosted command-line tool that reviews UI code and rendered screens against a 136-rule rubric for usability, design craft, and accessibility. It runs on your own API key with no quotas.

Software & SaaS · AI Agent · AI Evaluation Framework · Workflow Automation

View Deployment

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

AI Agent2 records
AI Evaluation Framework1 record
Customer Support Agent1 record
RAG System1 record
Semantic Search1 record
Workflow Automation1 record

Builder declared

AI Agents
AI Evaluation & Testing
Conversational AI
Knowledge Assistants
RAG & Knowledge Retrieval

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Media & Entertainment

1 published Deployment

Software & SaaS

1 published Deployment

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Community Member

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works

Community

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

How this is verifiedWhat the platform has established, and what remains builder-declared.

Identity and organisation: Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments: An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes: Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence: Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency: Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability: Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Ready to discuss your AI implementation?

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