Internal-first · In Development
Prospecting Agent
Research prospects, qualify evidence and prepare personalised outreach drafts for human review.
AI Workers & Operations
TS Haus develops AI workers around concrete operational jobs, then connects them to workflows, systems and human approval boundaries. Shared control capabilities are being shaped through OPC as real workloads justify them.
Specialised AI workers
These workers are internal-first development lanes, not claims of finished commercial availability. Each one is scoped to a concrete job, evidence requirement and human control boundary.
Internal-first · In Development
Research prospects, qualify evidence and prepare personalised outreach drafts for human review.
Internal-first · In Development
Prepare campaign plans and platform-native content while publishing and paid spend remain controlled.
Internal-first · In Development
Diagnose sites, prioritise organic-growth work and prepare evidence-backed improvements for review.
Internal-first · In Development
Assist requirement analysis, test design, evidence, retest and release-readiness work without final release authority.
Shared governance layer
OPC is the internal-first control and governance layer for state, approvals, evidence, exceptions, audit and human intervention across AI operations. It is not the company identity and is not represented as a finished public platform.
Products & architecture
A product marked Live can be used today. Development-stage items describe what is being built or explored, not finished commercial availability, adoption or customer traction.
Control, approvals, evidence and operational visibility for AI-powered workflows.
Portable AI context profile designed to move useful context across AI tools.
Free website SEO audit focused on Malaysia and Singapore.
Product principles
Start with a specific workflow or decision instead of adding AI everywhere.
Keep approvals and important decisions visible where the risk requires it.
Prefer traceable evidence and release discipline over unsupported performance claims.
First-party evidence
AI output looks finished long before it is verified. Our Memory Haus case study documents what AI photo restoration repaired reliably on real damaged family photos, where it altered identity detail, and the limitations we published instead of hiding.
Read the AI photo restoration accuracy and risks case studyGroup Games, Match Haus, Memory Haus and Trending Haus remain available through the main Products catalogue.