Work / Projects

Building at the intersection of context-aware AI, human purpose, and future-of-work systems.

These projects are connected by one question: what would software look like if it helped people hold more context, make better decisions, and delegate work without losing authorship?

Building / Context-aware AI infrastructure

Contexta

A system for giving AI agents durable working memory, provenance, and context that can be inspected, updated, and trusted.

Context should be treated as a first-class product surface: versioned, attributable, recoverable, and useful across the whole lifecycle of work.

Designing memory structures that separate facts, preferences, decisions, tasks, and unresolved assumptions.

Exploring interfaces that let people see why an agent believes something before they let it act.

Building toward agent workflows where context survives across meetings, documents, tools, and time.

Discuss Contexta

Exploring / AI-native workflow and virtual employees

Amino.ai

An exploration of virtual employees: agents that can own bounded work, report progress, ask for judgment, and improve through feedback.

The future of work is not just automation. It is a new organizational interface where software can hold responsibility without erasing human purpose.

Mapping what a virtual employee must know before it can responsibly perform a role.

Testing workflow primitives for delegation, review, escalation, and memory.

Studying how teams can gain leverage without turning every craft into a queue of automated tasks.

Ask about Amino.ai

Researching / Purpose, careers, and future-of-work systems

Work for Future

A research and product thread about meaningful work, career agency, and the tools people need to shape better futures.

If AI changes the price of execution, the scarce resource becomes direction: what people choose to build, why it matters, and how work remains humane.

Writing about the tension between automation and purpose.

Collecting patterns for career systems that help people compound taste, skill, and agency.

Looking for product shapes that make long-term contribution easier to see and coordinate.

Collaborate

Publishing / Essays, diagrams, and prototypes

Field Notes

A public notebook for mathematics, complexity science, design, architecture, and the emotional texture of building.

Serious technical work benefits from a more humane public surface: precise enough to be useful and personal enough to be remembered.

Short essays on agent reliability, context systems, and product taste.

Visual diagrams for ideas that are easier to understand spatially than verbally.

Small prototypes that test whether an idea changes how people think or work.

Read essays

What I want the work to prove.

AI agents become useful when they understand the context of the work, not just the syntax of the request.

Production trust requires provenance: people should be able to inspect sources, assumptions, decisions, and actions.

The future of work should increase human agency. Automation is valuable when it gives people more room for judgment, craft, and direction.