AI & Automation
One practice for agents, automations, AI enablement, and the custom software that ties them together.
Agents in orbit around your operating core
Agents in orbit around your operating core
5 lines
Pick the door that matches the problem
Start here
One assessment, then a map
Not sure which line fits? The assessment sorts it, and the fee credits toward whatever you build next.
AI Readiness Assessment
Businesses that want a real map before spending on tools
1 week
- 90-minute discovery session
- Current workflow and tooling review
- AI opportunity map
- Prioritized recommendations report
- Fee credits toward any follow-on package
How we work
Principles
Model, harness, environment
Most AI work confuses the three. The model is the brain, the harness is the body, the environment is the world it operates in. Most failures live in the harness or the environment, not the model.
Diagnose before you prescribe
Until we see the actual failure happen, we are guessing. Logs, traces, and receipts beat opinions. The fix usually sits one layer away from where the symptom showed up.
Start tight, expand on receipts
Less is more with agents. The smaller the surface area, the more reliable the loop. We start tight and expand only when the receipts justify it.
Why us
Breadth and depth
This practice runs on the same frontier models, harnesses, and protocols it installs for clients, benchmarked side by side before anything is recommended.
No single-modality blinders. We pick the modality that matches the job, run it end to end, and keep the receipts. Everything below has shipped in a real client context or on our own stack.
Text and reasoning
Long-context synthesis, extraction, classification, agentic planning.
- Claude Opus 4.6
- GPT-5.4
- Gemini 2.5 Pro
Voice
Inbound triage, outbound follow-up, real-time transcription into structured handoffs.
- Mic capture + diarization
- Intent extraction
- CRM handoff
Image
Brand imagery, product renders, and vision tasks used inside agent loops.
- Generation
- Vision input for agents
Video
Short-form clips, edits, and synthetic b-roll. Review pipelines with human sign-off.
- Short-form generation
- Cut-and-caption workflows
Audio and music
Voiceover, podcast-style audio, music beds for ad creative.
- Voice cloning (consented)
- Music beds
Code
Generation, refactor, test, and review loops running inside agent harnesses.
- Claude Code
- Codex
- Cursor
Avatars and 3D
Talking-head avatars and 3D scene assets for pitch and sales material.
- Talking-head avatars
- 3D scene assets
Lab programs
Anthropic
User research and early-access programs.
OpenAI
User research and beta programs.
Early access to AI product programs.
Perplexity
Insider programs and feedback cycles.
Common questions
Where do we start?
The $500 readiness assessment. Ninety minutes on your workflows, then a written map of what to automate, what needs an agent, and what to skip. The fee credits toward whatever you build next.
Agents, automation, or setup: which do we need?
Depends where the hours go. Rules-based handoffs want automation. Judgment work on one workflow wants an agent. A team retyping everything into chat by hand wants setup and training. The assessment sorts this in a week.
Do you only work with Lehigh Valley businesses?
No. Based in the Lehigh Valley, on-site locally when it helps, remote everywhere else. Agent and automation work ships the same either way.
How do we know what the AI actually did?
Every agent run produces a receipt: the model, the tool calls, the token counts, the timestamp. If we cannot show how something was produced, we do not claim it.
What does this cost to run after launch?
Model costs are part of the design. We cache, batch, and run smaller models where they fit, and the dashboard shows the bill next to the hours saved.
Ready to put a workflow on the system?
Thirty-minute working call. Bring the problem you want fixed. You leave with a direction, fit or not.