Onboard
A conversational assistant helps job seekers sign up, and their résumé is turned into structured skills — with every AI suggestion approved by the candidate, section by section.
Custom design and a CMS your team can run.
Product judgment first, then agent-speed building.
Agents that do real work inside your operations.
We transform your SDLC for the new agentic era.
We build UI/UX component systems for faster agent outcomes.
All services: Design · Build · Automate · Support
What We Do overviewFive steps from idea to a product that keeps improving.
Spec & quote projects, an agile retainer or team augmentation.
The playbook, CMS and project tools we built and use every day.
AI that does real work, safely, inside your environment.
Own the software your business runs on.
A technical partner for your website and campaigns.
Decide what’s worth building, then launch it fast.
Stabilize now, then rebuild without going offline.
A boutique digital agency in Cedar Grove, NJ, since 2001.
What we believe and how it shapes the way we work.
Meet the designers, developers and strategists.
What our clients say about working with us.
Ideas on software, AI and agents from our team.
A workforce nonprofit helps people without traditional credentials get hired for what they can actually do. It needed one platform to replace a patchwork of tools — and to make skills-first matching work at scale.
Degrees and keywords are poor proxies for ability, and they quietly filter out exactly the people the organization exists to serve. Its staff were stitching hiring “sprints” together across outside platforms, spreadsheets and trackers.
We designed and built one self-contained platform for job seekers, staff and employer partners. Five agents each own one job — onboarding conversations, résumé understanding, job analysis, sourcing and employer research — and share their work through the platform rather than calling each other.
Just as deliberately, we kept some decisions out of the AI. Segmentation and hard filters are plain, auditable rules; the AI scores only what genuinely needs judgment.
A conversational assistant helps job seekers sign up, and their résumé is turned into structured skills — with every AI suggestion approved by the candidate, section by section.
Each job is analyzed for skills, and a candidate persona and evaluation rubric are generated before any matching runs.
Hard requirements and distance are applied as transparent rules, not model guesses.
Candidates are matched on weighted skill overlap using an industry-standard skills taxonomy — adjusted for recency and confidence.
The AI scores technical fit, culture fit and the rubric, and records a verdict, evidence and rationale for every criterion — so “why this job?” always has an answer.
Agent results are recommendations, never final decisions — staff approve candidates at a review stage in every sprint.
Matching runs are started by staff, by design.
Candidates can opt out of AI scoring, and consent is checked before any AI processing.
Every match stores its scoring-policy version, so results can be reproduced and audited.
One platform replacing outside tools, trackers and spreadsheets.
Every match explained, criterion by criterion.
Model choice per agent — OpenAI, Anthropic Claude or AWS Bedrock — with automatic fallbacks.
Pete CEO & Founder
Tell us the process that costs your team the most. In a few weeks we’ll show you, with working software against your own data, what agents and good design can do with it.