SparksFlow · In Development
The AI operating system for people who run businesses.
One workspace. Multiple businesses. Multiple AI models. Shared context. SparksFlow connects your businesses, projects, workflows, and knowledge with AI that actually knows what you are working on.
The problem
Running a business today means running a dozen disconnected tools.
I built SparksFlow because I was living this. Multiple ventures, multiple teams, and AI that could not see any of it.
Too many tools, no shared memory
Notes in one app, tasks in another, documents in a third, and AI in a chat window that forgets everything the moment you close it.
AI that cannot see your business
General-purpose chat knows nothing about your customers, your projects, or how you actually work. Every prompt starts from zero.
One person, several businesses
Operators who run more than one venture spend their day context-switching. Nothing carries over from one business to the next.
How it works
Four ideas that make SparksFlow different.
- 01
Businesses as first-class objects
Each business you run has its own projects, knowledge, and workflows, with the ability to share context across them when it helps.
- 02
Multiple AI models, one context
Switch between frontier models for the task at hand. All of them see the same knowledge, documents, and project history.
- 03
Agents that do operational work
Research, drafting, follow-ups, and analysis run as workflows, not one-off prompts. The output lands where the work lives.
- 04
A knowledge layer that compounds
Every document, decision, and conversation becomes searchable context. The system gets more useful the longer you use it.
Who it is for
Built for operators, by an operator.
SparksFlow is where the business-operator experience across every other project converges into software: a single environment where AI assists with operations, project management, workflows, research, knowledge, and execution.
- Founders running two or more ventures
- Agency owners juggling client businesses
- Operators who want AI embedded in their workflow, not bolted on
- Small teams that need leverage without headcount
Why this matters for clients
SparksFlow is the thesis. Client work is where it gets tested.
Everything I learn building an AI-native product, from model orchestration to agent reliability to what operators actually adopt, goes directly into audits, build sprints, and fractional work. You are not hiring someone who read about AI. You are hiring someone shipping it.