What the work demonstrates.
Our IMFIT work connects approved knowledge, AI-assisted conversations, workflow state and a mobile application. Those are concrete engineering patterns. New industries and third-party systems still need separate investigation.
Why the offer is a scoped engagement.
We are developing applied AI engineering around connected data, tools and workflows. Potential buyers include product and operations teams with a defined task, authorised access and a development budget. This buyer profile is a hypothesis we are testing, not a proven market.
Existing products set a high bar.
Glofox advertises AI agents, shared knowledge, human handoffs and CRM connections. Follow Up Boss offers real-estate lead coordination and integrations. Intercom offers AI customer service with existing helpdesks. Moving between sectors does not remove competition.
Glofox AI Agents; Follow Up Boss; Intercom. Vendor capability descriptions, not independent performance tests.
The building blocks are available.
Supabase documents vector search, retrieval and application examples. Available tooling is a reason to reuse sound foundations, not to claim a proprietary AI platform. The engagement is about the client's implementation, integration and evaluation.
Supabase AI & Vectors documentation.
Keep the commercial promise precise.
Agree on working software, tests and handover. Evaluate whether the task merits investment, but do not substitute a promise of more leads or profit for an engineering specification.
What remains to validate.
We need unrelated buyers who will fund a defined engagement, access to their actual systems and evidence that delivery and support are sustainable. The website and IMFIT demonstration do not establish demand.
Read the engagement process