
The Dominio Router
Context engineering for a whole life

I Replaced The Windows Taskbar
Desktop shell built for agents

A Board For AI Sessions
Ops view for many agents

Thread notes system
Durable memory per work item

Production, locked by default
Production writes wait for a human click

Hilos: Threads Hold Memory
Long-horizon memory without auto-memory

A System That Audits Itself
A system that audits its own use

QA Loop With An Adversary
Verification as a habit

My Voice, Coded Once
Personalization by spec

A Catalog For Local AI
Local LLM with guardrails

The Model Reports Its Steps
Agent self-reporting UI

Work Or Personal, Automatically
Context separation

Usage Bar And Tasks Panel
Cost visibility in UI

Consent Tokens For Agents
Consent primitive for agents

A Guard On My Phone
Device-level guardrail

Agent-routing guard
Policy as a hook, not as a hope

Outbound quality stack
No embarrassing auto-messages

A Second Brain In Meetings
A cited card while people talk

A Live Interview Coach
Real-time coach, no API key

Made by Asking, repositioned
Each project separate and sellable

A Home Dashboard For Everyone
Lights, TV and music on one page

Chat history as private memory
Private memory as MCP

My own model, from anywhere
Local Qwen, reachable from any of my devices

One page for the house
Each light controlled from one shared page

Forms filled, values unseen
Forms filled without the AI seeing the data

Fitness data, plumbed together
Three fitness sources joined every day

Credits, only on a go
Spend control on a paid generator

Quiet checks, same job
Less noise, same checks

Each lane, its own browser
Stops cross-lane browser mixups

Sent back, made to try
A give-up reply gets bounced back once

Code work routed to Jules
Uses an included agent automatically

An icon on every tab
Quick visual lane identity

Shell output, compressed
Cuts tokens with no model effort

Agents, fixed-shape reports
Every helper reports verdict first

Done, with proof
Proof before completion

Salesforce work, reviewed
Reusable reviewers, fixed format

Agent browser, logged in
Reliable web automation entry point

Show me, only when asked
Small bridge between agent and person

An AI study page
The next batch follows my votes

Setup, self-explained
The setup explains itself to the model

Software, self-healing
Green commits, red reverts, every 15 s

One shell, every screen
Deep Windows engineering behind the shell

Session shortcuts, keyboard only
Alt plus a number jumps to a session

Phone to PC, same chat
Phone and PC continuity

Heavy apps, governed
Heavy programs slowed down, not killed

Memory, watched
Free monitoring with no model

Plan usage, from my phone
Replaces three remote sessions

My own search engine
Free search backbone

A subscription, put to work
Uses a subscription, not API keys

Sessions, in my pocket
App feel from my own server

Session alerts, on my phone
Phone push when a session needs me

Side panel, from transcripts
Tracks sessions without asking the model

Session summaries, carried over
A readable history of work

Research runner, per tool
Knowing what the subscriptions can do

An API credit watcher
Credit checked every 12 h, warned before expiry

Token budget, always in view
Five-hour and weekly use always on screen

Production, mirrored locally
Production metadata copied nightly, read-only

AI brief, daily at noon
Six researchers, one writer, three judges

AI setup, backed up nightly
Nightly mirror, secret scan before upload

Logins, never seen by the model
Passwords typed by the browser, never seen

Each task, the right account
Every session tagged work or personal at start

Usage meter, on my desktop
Plan use on a bar, green to amber to red

Services, self-restarting
Two services checked every 2 min, restarted

Openings, watched by small jobs
One poller per page, one email on change

Approved messages, one by one
Each message approved before it is queued

Paused work, resumed after reset
Paused work resumes when the plan resets

Internet quality, logged
Ping each minute, speed test every 30 min

AI news, in one email at noon
Capped at 1000 words, sent at noon

The AI week, on Sunday
Up to five ranked fixes every Sunday

The day, in one email
Yesterday's calendar, mail and notes in one email

The channel, every Monday
A verdict per upload batch, every Monday

Broken jobs, caught every hour
Every job's status checked hourly, no AI

Usage warning, once a week
An email a day before reset if under 70%

Reset reminder, sent once
One email, once, only if the reset is unused

My AI use, audited weekly
One CSV row per week from my transcripts

Weekly cleanup, by rule
Old regenerable files deleted weekly by age

Nightly backup, secrets refused
Nothing pushed while a secret is found

Device data, collected daily
Three sources captured at 3:45, each on its own

Today's log, pushed every 30 minutes
Today's numbers published every 30 min, 7:00-23:00

My internet, checked every minute
A ping every minute; the gateway splits home from operator

Internet speed, every half hour
A speed test every 30 min; under 80% of the plan is a dip

The internet week, on Monday
One Monday email; the subject holds drops and dips

Browser change, measured a week later
Click errors compared after seven days

Two browsers, kept in sync
New Edge bookmarks copied to Chrome every 30 min

Festival schedule, watched every 3 hours
Three sources every 3 h; one email, then it expires

Stale services, restarted every 2 minutes
Running and current, checked every 2 min

Several sessions, one resume job
One usage reader every 10 min for every watched session

Live-source rule, graded from logs
Two logs of live-source checks, one report

Pipeline Maker
Agent work as a template

Idea Forge
Idea-to-test factory

Marketing As A Loop
Promo as a measurable loop

A Mode For Not Concluding
Stops forced answers

A Diary With Hard Numbers
Motivation with data

Clear And Start
Context hygiene, one gesture

A Fork Button For Sessions
Branching conversations in UI

Decisions With Previews
Human-in-the-loop UX

Claude Tests Its Own UI
AI testing AI's own surface

Tabs For Notes And Agents
Readable agent output

A Study Feed I Curate
Personal learning loop

Browser fallback hook
Flaky tool, automatic fallback

Guard test suite
Tested guardrails, not trusted ones

Change-control hook
The change request fills itself from the change

Copilot isolation
A leak found in testing, then fixed

Token-waste audit
Evidence-based cost cuts

Freno: token brake
A brake independent of the agent

Plan-limit and reset alarms
No wasted allowances

Model and long-run policy
Cost matched to task length

Fail-cheap rule
Test every idea at its cheapest version first.

Ledger with a hard cap
Budget enforced in code

Subscription as image route
Use what's already paid before paying per call

Auto-intake every 30 min
Weak outputs get redone by a stronger model

Per-item agent launcher
Each agent stops at a draft for approval

Keyword push alert
It pushes the exact line to my phone

Pending-items sweep
Triage with approval

Salesforce MCP, hosted
A dedicated agent user with scoped access

Deal Desk module
Apex logic, 10 flows, an LWC and a dossier PDF

Mass-load builders
Repeatable data loads

Margin rule and cost alerts
A scheduled job flags cost changes

Sharing model rework
Changes shipped as reviewable metadata

Why Users Can't See Fields
Finds invisible fields

Demo Videos From A Script
Demo from a script

User Guides From Code
Docs from code

Every Handoff Looks The Same
Standard handoffs

Month-End In One Run
Month-end in one run

Timesheets From Evidence
Timesheet from evidence

Repo, UAT, PROD: One Table
Repo, UAT and PROD checked in one table

Every Call Comes Prepped
Auto-brief per call

Testing Meeting Tools Offline
Tests prove it never types or clicks

Interview Prep, Reused
Prep reused every call

A Karaoke Teleprompter
Word-by-word delivery

LinkedIn inbox, pre-drafted
A drafted reply for every new message

Applications from a spreadsheet
ATS forms filled from one profile file

Targeting from market data
Demand counted from public job postings

A faceless video factory
Twelve steps, each with its own check

A quality gate for Shorts
Automated quality gate for video

Shorts beat long video
A pivot made from the numbers

Many products, one pattern
Ten product pages from one brief

Finding taste by swiping
Taste capture without vocabulary

An AI Critic For Frames
The AI critic matched me on 7 of 10 clips

Long Renders, Supervised
Supervised long renders

Local vs Hosted Video Models
Local vs hosted decision

The 0.7-Second Rule
Every clip cut to its best 0.7 s

Approving Images, One By One
Approve, reject or comment in one keypress

Claude Drives Blender
bpy automation for any project

A Runbook For Stubborn Bulbs
Bulb pairing steps that worked, written once

A room from one video
Room modeled from video

Claude drives PC and phone
Claude drives both devices

Bookmarks, sorted by script
A separate headless Chrome edits bookmarks

Expenses logged with no typing
Zero-typing ledger

Phone recordings to text
Phone-to-text

Watchers for slow portals
One watcher per portal, each with an end date

Travel planning with agents
Crawl many listings, then filter hard

Buy or rent a GPU?
Rent for bursts, buy for nonstop work

An old phone named Nova
Old phone turned into a home assistant

The TV, one click away
Claude drives the living-room TV

Lights that follow the beat
Lights pulse on the beat of the track

A deck that learns
A swipe deck that learns from each pick

Sandboxes that reset on close
Safe testing of APKs and scripts

Sourced teacher mode
Study with citations

An inspiration board for me
Personal motivation feed

Shopping search through an emulator
App scraping without an API

Google Flow mascot videos
AI video on a subscription

A credit-guarded AI media studio
Credit-capped AI media studio

Idea tree, tested
Ideas tested, branched or killed

One style, every page
Every page shares one stylesheet

Verification codes, on request
Unblocking locked-out users without opening Setup

Agent access that repairs itself
Keeping the agent's sessions alive across systems

Active users, by login
License and usage visibility

IT tickets, house format
Consistent IT Operations tickets without hand formatting

One folder per requirement
A folder per requirement, request to closeout

One topic, fully reviewed
Every claim in the status table has evidence

Rollout advice, per role
Rollout advice per role before production

AI features already paid for
What's licensed is checked before buying

Deploys, guarded
A class without a test stops the deploy

Dog reader, research first
A research dossier before any prototype code

Animation tools, researched
Skills, MCP servers and GSAP mapped, links checked

No proof, no done
No proof after a change, the turn can't end

Salesforce automation, cataloged
What fires on a record, found before building

User stories, on one dashboard
Every story's status on one local page

AI feature, tested for real
Done only when Apex and browser tests pass

Requirements, one server for agents
A phase per requirement, evidence to move on

Agent browser, never on screen
Logged-in Chrome with no window on screen

Laptop, tuned up
Sleep, hibernation and forced restarts off

Work requests, one intake
Chat and email requests in one sheet

Toolbox Routing And Relevo
Multi-vendor orchestration

The Shell On My Phone
Mobile control of agents

Free-tier video models
Free tiers used fully

Contract reader LWC
AI document review in the CRM

Rehearsing on the real platform
Practice where the real interview happens

Walk through a scanned room
3D scanning as a service

An edit, four versions
Iterated editing with automated QA

A Streetwear Brand Mock
A streetwear brand built only as a mock

A Folklore Animation Series
Research to series plan

Three Seconds, One Character
Stopped at round 10 of 12 as over-engineering

Workouts as a pixel game
Wearable data as a game

Coach on the home screen
Native widget to a coach

AI life in a box
Organisms copy themselves and kill for space

Two local AIs, talking
A private thought before each spoken line

Phone control over USB
A route around a blocked input layer

Multi-LLM cost study
Result: use paid tools better first

AI Agents, Live On Stream
Agents debate live, chat steers the topic

Last Lantern: A Postmortem
22 of 458 QA verdicts passed, and why

Stopping LoRA Training Early
Dropped after a stray lantern in 6 of 10 poses