From connected sources to governed action.

The lifecycle

01 — Connect authorized sources

You decide which systems IEVA may read — email, calendar, documents, meetings, messages, tasks, CRM, research feeds. Nothing is connected implicitly.

02 — Establish permissions and policies

Access is least-privilege and scoped per source. Policies define what IEVA may read, what it may prepare, and what always requires a person.

03 — Build reviewable context and memory

From authorized sources, IEVA assembles context and persistent memory: decisions with rationale, commitments, people, preferences, open loops — each entry attributable to its sources.

04 — Identify signals, commitments, and unresolved work

IEVA watches for what changed, what is due, what was promised, and what quietly stalled — and connects each signal to the context around it.

05 — Prepare briefings and workflows

Morning and weekly briefings, meeting preparation, follow-up tracking, and reviews arrive on your cadence. Each item shows why it matters and where it came from.

06 — Delegate bounded tasks

Research, analysis, drafting, and monitoring go to specialist agents with a clear objective, bounded access, and an isolated working context.

07 — Return results with sources and provenance

Delegated work comes back as a reviewable result with visible status and source citations — a clean handoff, not a mystery output.

08 — Request approval for consequential actions

Sending, committing, spending, deciding: anything consequential waits at an approval gate for a human.

09 — Learn from corrections and explicit preferences

When you correct memory or state a preference, that becomes part of the operating layer — reviewable and deletable like everything else.

From repository prototype to product platform

IEVA did not start as a pitch deck. It began as a working personal knowledge-assistant system inside an Obsidian repository: local-first, human-readable, inspectable, and built around the principle of amplification over automation. It moves information through a real pipeline — inbox to projects to output to wiki — keeps persistent memory in plain Markdown, codifies repeatable workflows as version-controlled skills, and reconstructs context at the start of every session. Git history provides provenance; significant decisions wait for human approval.

That repository is the product’s working prototype at an individual scale — its design provenance, not the backend architecture of a finished enterprise platform. The conceptual product generalizes each proven mechanism:

The interesting part isn’t the tooling — it is that every product principle was lived first: memory should be reviewable, evergreen knowledge should be harvested only from completed work, and the source of a recommendation should never disappear.

Where the human sits

At every stage, you can see what requires attention, why it matters, where the information came from, and what action is available. Memory is correctable. Delegation is observable. Consequential actions are deliberate. The details live on the security and governance page.