Understand
the friction.
Map the work, look at your tools and data, and decide what’s worth solving. Agree on scope, access, and what success should mean.
THE OUTPUT / A CLEAR PROBLEM & PROJECT SCOPEINDEPENDENT AI & SOFTWARE CONSULTING
Make AI useful.
Make work flow.
Turn the work that slows you down into systems that move you forward.
Practical AI, automation, and custom software.
Built around your small or midsize business.
GLASS / THE WORKING SYSTEM01 — 03
Scattered inputs.
One useful system.
A visual idea of what we build. Always with people in the loop.
THE RIGHT TECHNOLOGY.
FOR THE REAL PROBLEM.
FOR THE REAL PROBLEM.
AI augmentation · Agents & evaluations · Automation · Analytics · Full-stack software
01 / FROM FRICTION TO FORWARD MOTION
Start with the work.
Then find the technology.
AI is useful when it solves a specific problem.
Here are a few places we could start.
01Give your team a head start.
Find answers in your documents, prepare customer replies, or support research. AI helps with the first pass; your team keeps the judgment.
AI AUGMENTATION / KNOWLEDGE & SUPPORT02Get the busywork moving.
Connect the tools you already use. Turn incoming forms, invoices, and requests into organized records and useful handoffs.
AUTOMATION / AGENTS & INTEGRATIONS03See what your data is saying.
Bring scattered reports into a clearer view. Build dashboards and analysis around the decisions you actually need to make.
ANALYTICS / DATA PLATFORMS04Build the tool you’re missing.
When the available software doesn’t fit, build a focused application: an internal tool, customer portal, or a prototype for a new idea.
FULL-STACK SOFTWARE / CUSTOM APPLICATIONSA CLOSER LOOK01 / 04
A better first draft.
An incoming customer question becomes a grounded reply, ready for your team to review.
THE INPUT
“What should I prepare before our first appointment?”
EXAMPLE CUSTOMER MESSAGEFind relevant business information
READY FOR REVIEW
A suggested reply with the relevant preparation details and a handoff to your team.
3 STEPS
Illustrative workflow. No live AI, client data, or connected systems.
Useful also means reliable. For AI and agent systems, we plan evaluations, human review, and clear limits around what the system can do.
How we work02 / YOUR TECHNICAL PARTNER
Built by Daniel.
Built around you.
I’m a data scientist and engineer who likes making complicated things useful.
My experience includes foundational AI R&D at a Fortune 5 company, systems that augment employee workflows, and cloud data platforms from architecture to implementation and handoff.
Through Glass Applied Intelligence, I bring that experience to small and midsize businesses. You work directly with the person building the solution—from understanding the problem to putting it to use.
Large language models & retrievalAgents & evaluationsData science & cloud platformsFull-stack engineering
03 / A CLEAR WAY FORWARD
Start small.
Build with intention.
A focused first step.
A practical path to something useful.
Understand
Prove the
useful part.
Build a focused prototype. Test it against real needs and, for AI, check quality and failure cases before committing to a larger system.
THE OUTPUT / A TESTABLE FIRST VERSIONPut it
to work.
Build out integrations, deployment, documentation, and training. Plan maintenance and refine with the people using the tool.
THE OUTPUT / A SYSTEM YOUR TEAM CAN USEYOUR NEXT STEP / A CONVERSATION
What would you like
to work better?
A repetitive task. A question in your data.
A tool you wish existed.
Let’s find a useful starting point.
Send your inquiry directly to Daniel.