AUTONOMOUS AGENT ENGINE

Goal in.
Agents run.
Outputs ship.
Templates compound.

OWOJI is becoming a living creative and technical factory. Give it a /goal; agent teams produce skills, pages, scripts, research, brand systems, motion briefs, and reusable templates while the work log, metrics, and guardrails stay visible.

CAPTURE → LOG → PACKAGE

What OWOJI does

OWOJI is for founders, operators, AI builders, and teams who want AI agents producing useful work daily, not just answering one-off prompts.

Goal command center

Start with a high-level mission, category, cadence, and budget. OWOJI turns it into scoped agent runs with audit trails and hard guardrails.

Live agent work log

Watch research, generation, packaging, and governance tasks move from queued to shipped without hiding what the swarm is doing.

Outputs as templates

Every shipped artifact becomes a remixable template: skill files, launch pages, scripts, briefs, research docs, brand systems, and agent instructions.

Metrics for trust

Track goals, runs, outputs, remixes, exports, feedback, revenue signals, and estimated time saved for YC, investors, and product decisions.

Skill Garden, Builder, and Finder

OWOJI’s compounding layer turns each output into reusable agent memory: a garden to store skills, a builder to create them, and a finder to call the right one.

Skill Builder

Ingest a workflow, documentation page, repository, or browser research trail and compile it into a strict skill with inputs, outputs, risks, and validation checks.

Skill Garden

Store versioned skills with source lineage, tags, quality scores, feedback, and improvement jobs so agent teams know what is safe to reuse.

Skill Finder

Search the garden by task, tool, domain, or use case, then retrieve the right skill through REST now and MCP or CLI surfaces as the distribution layer matures.

Improve loop

Users and agents can report gaps, request refreshes, and schedule periodic research so skills improve as tools, docs, and workflows change.

Where OWOJI fits

Use OWOJI when a workflow needs to become structured documentation, reusable automation context, or a handoff that an AI agent can follow without guessing what happened.

macOS workflow capture Skill Garden Skill Builder Skill Finder agent skill registry AI agent handoff workflow documentation prompt capture agent packet export MCP skill distribution CLI skill search Markdown workflow export JSON session export process capture for teams