A field guide for better systems · July 2026
Bring us the workflow, tool, device, or operating problem that should work better. We start small, measure the baseline, and test a practical path before anyone commits to a larger build.
American-owned and operated · Two-person online team · No forced retainer
Start small
$350AI and workflow reviewBuild a proof
$700Rapid workflow prototypeDecide with evidence
10–15Business days for a feasibility sprint01 / What we do
Software and operations
We can examine repetitive work, documents, handoffs, site performance, or local AI needs and test a practical improvement.
Workflows · local AI · internal tools · websites
Hardware and field systems
We can evaluate what should run on the device, what belongs off-device, and how sensors, controls, compute, power, and field conditions shape the design.
02 / Engagement path
Choose one operating problem worth testing.
Build a narrow proof before committing to a larger project.
Test the workflow, risks, data, and expected payoff.
Keep the published service price intact and scope custom build or training separately.
Continue only when the system keeps producing value.
Sprint outputs
Working prototype, test results, data-flow map, risk notes, hardware or model recommendation, implementation estimate, walkthrough, and a 30-day plan.
Outside the sprint
Production rollout, unlimited integrations, compliance certification, hardware purchases, guaranteed accuracy, and 24-hour support.
The $350 review, $700 prototype, and $3K–$6K feasibility sprint remain the same.
Model work, data preparation, special integrations, hardware, software, and compute are added only when the project needs them.
A two-person online team keeps rates below traditional U.S. agency pricing while testing, acceptance checks, and a versioned handoff stay in the scope.
Custom scope and outside costs are written down before work starts. See the full pricing basis ↗
03 / Choose your ROI
Move the sliders using the client's numbers. Use the full first-project budget, including the published service price and any approved custom work or outside costs. This is a screening tool, not a quote or guarantee.
Conservative first-year check
12 people × 20 minutes a day × 240 workdays at $40 an hour means the task costs about $38,400 a year. Saving 35% would free up $13,440. To stay cautious, we count only 60% of that: $8,064.
Use the client's own numbers before making a decision. Count software, hardware, setup, training, upkeep, delays, and actual adoption. If the expected savings do not beat the full cost, stop or shrink the job.
04 / Current client example
My Home Studios is a current client. The engagement includes website performance and SEO work with a recorded baseline, a delivered optimization pass, and live retest links.
73 → 90reported mobile performance improvement
83 → 92reported SEO improvement
100reported desktop performance at delivery
Client result recorded before the current live retest. Open My Home Studios · Run PageSpeed yourself
Current desktop snapshot99 Performance · 84 Accessibility · 100 Best Practices · 92 SEO
Current mobile snapshot96 Performance · 84 Accessibility · 96 Best Practices · 92 SEO
Current snapshot recorded July 16, 2026. Live PageSpeed results can change with the test device, network, third-party scripts, and later site edits. Every client starts with a separate baseline.
05 / How the work runs
The first engagement stays narrow enough to test with the client's actual documents, data, systems, or hardware constraints.
Bring the current steps, the people involved, and the point where time or quality breaks down.
Agree on the starting time, error rate, cost, or completion rate before changing the process.
Use real inputs to build and test a bounded prototype. Hardware or integration work may use the longer end.
Finish with results, risks, responsibilities, and a priced next step. A weak result stops the project.
A useful first project ends with evidence the client can inspect: what changed, what did not, what it costs to continue, and who owns the next step.
06 / Delivery proof
The main site, shipped web surfaces, public repositories, and run records show how AI Embedded Systems builds and checks its work.
My Home Studios has a named before-and-after website optimization result and a live retest link.
The main site shows scope, prices, exclusions, and the path from review to implementation.
Current GitHub count excluding forks and the profile repository.
Tests and held-out results can stop a release when the evidence is weak.
Time saved · error or rework reduction · completion rate · adoption · full project cost · payback period
Inside the 19
Count checked July 16, 2026. Forks and the GitHub profile repository are excluded.
Image, video, audio, model, and workflow tooling for Windows and NVIDIA hardware.
Open repositoryMemory-efficient mixture-of-experts work with explicit evaluation and release gates.
Open repositoryA UI direction for training language models on hardware people can own.
Open repositoryReusable skills for research, datasets, testing, and release checks.
Open repositoryControl, memory, reasoning, perception, and composure concepts for embodied systems.
Open repositoryTools that preserve settings and outputs so local experiments can be inspected and repeated.
Open repositoryDemoAPI.org is another shipped public surface. It is not counted as one of the 19 repositories.
Owned delivery surfaces
Recorded Lighthouse audits · July 12–16, 2026
These are dated delivery snapshots, not promises about future scores. Live reruns can vary.
07 / Start a project
Send the current steps, desired result, people involved, and the data, software, or equipment the system touches. We will start with the smallest paid step that can answer the question and separate the published service price from any custom work or outside cost.