Middletown, New Jersey  —  AI & software consultancy

AI that survives contact with production.

I'm Jared Davies. I design, build and ship AI systems and software — from the first honest look at your operation through to deployed, tested, maintained code. One principal. Production standards. No handoff to a junior team.

Full‑stack + DevOps
Agent‑native delivery
Fixed‑scope audits
Shipped, not slideware

Applied is the operative word.

Most AI advice stops at the demo — a workshop, a slide with three use cases, a proof of concept that impresses in the room and is never opened again.

Applied means the other thing. I carry it the whole distance: through the awkward data, the edge cases, the deployment and the test suite, until it is running in production and your staff would notice if it stopped.

I work from Middletown, New Jersey. No office, no overhead, and no account manager standing between you and the person writing the code. Remote by default — on site when it actually helps.

Who I work with

Three kinds of organization, one problem underneath.

Small businesses & startups

"We know AI should be doing something for us. Nobody can tell us what, and nobody can build it."

What you get A ranked, costed list of where AI actually returns hours or money in your operation — and then the thing itself, built.

Nonprofits & mission organizations

"Our programs run on spreadsheets, a group text, and one person's memory. Reporting season is a week of pain."

What you get One system your staff, volunteers and board all work in — and board numbers that hold up when someone asks where they came from.

Golf & sports organizations

"Tee sheet, memberships, lessons, events, rosters, dues — five systems that don't talk to each other."

What you get Connected operations and reporting a GM can read in ninety seconds. I know how a club and a season actually run.

Services

Six things I do, and what you actually receive.

AI Opportunity Audit

Find out what's worth building.

Two weeks inside your operation, fixed scope and fixed fee. I map how work really moves, then rank every AI and automation opportunity by effort against return — including the ones you should refuse.

  • Process map of the workflows that cost you most
  • Ranked opportunity register, each one effort- and impact-scored
  • Build, buy or skip — a straight call on every item
  • A 90-day sequence you could hand to anyone

For: anyone who has been quoted for AI work and can't tell whether it's the right work.

AI Agents & Automation

Agents that do the job, not demos.

Software that handles the work nobody should be doing by hand: intake and triage, documents and forms, drafting, summarizing, the monthly report. Built against your real data, with guardrails and a human in the loop where the stakes require one.

  • Intake, triage and routing for applications, tickets, enquiries
  • Document and form processing — extraction into your systems
  • Drafting and summarizing on your templates and voice
  • Logging, evaluation and an audit trail for every action taken

For: teams losing whole days to routine back-office work.

Custom Software

The whole product, shipped.

Schema, API, interface, authentication, deployment. Multi-tenant platforms, internal tools, client and member portals. Not a prototype that needs a real team afterwards — the actual system, in production, with tests.

  • FastAPI · Next.js · React · TypeScript · Postgres
  • Multi-tenant architecture with role-based access that is enforced, not assumed
  • Test suite wired into the pipeline as a merge gate
  • Your branding, your domain — invisible vendor

For: organizations whose operation has outgrown off-the-shelf software.

Data & Reporting

Numbers that hold up in the room.

Scattered records turned into reporting a board, a funder or an owner can act on — with the definition of every figure written down, so nobody relitigates it at the meeting.

  • Live dashboards for the people who need the answer now
  • Year-to-date and life-to-date reporting with a defined recognition date
  • Exports that match the format your funder or auditor asked for
  • One source of truth, replacing the competing spreadsheets

For: anyone whose reporting currently starts by reconciling three files.

Cloud, DevOps & Reliability

Make deploying boring.

The unglamorous layer that decides whether software is an asset or a liability. Containerized deploys, a pipeline that refuses a broken build, migrations that don't take the site down, and backups somebody has actually restored.

  • Docker, CI/CD, and a test gate that genuinely blocks a red push
  • Schema migrations with a rollback path
  • Verified backups — tested, not just scheduled
  • Monitoring and alerting that pages a person before a customer calls

For: teams with software running that nobody is confident touching.

AI Enablement & Training

Your team, genuinely capable.

Hands-on sessions on your real work — not a generic webinar. Your people leave using the tools well, and you leave with a written policy on what may go into a model and what may never.

  • Working sessions on live tasks from your own queue
  • Prompt and workflow patterns kept in a place people reread
  • A plain-English AI use policy: data, privacy, client confidentiality
  • A follow-up review once your team has lived with it

For: organizations whose staff are already using AI, unsupervised.

Case study — Impactly

One engineer, nine months, a platform in production.

Impactly is the software local nonprofits use to run their assistance programs — intake, fulfillment, deliveries, volunteers, inventory, grants and board reporting, each organization under its own branding. Live at impactlyhq.com. First organization onboarded: Pinwheel Place.

First commit to live
9months, Dec 2025 to production
Engineers on the project
1design, build, deploy, support
Commits
~200every one through the test gate
Roles enforced
7admin, staff, volunteer, driver, grant manager, social worker, board
Client-facing languages
2English and Spanish, form by form
Services in production
3Next.js, FastAPI, Postgres — auto-deployed

What's inside it

  • Configurable intake applications, bilingual English/Spanish, per organization
  • A request-to-fulfillment workflow from submission to packed box
  • Barcode inventory with a full stock ledger — every movement recorded and attributable
  • Delivery zones, route assignment, and one-tap navigation for volunteer drivers
  • Grant lifecycle tracking with year-to-date and life-to-date board reporting
  • Seven org roles, each check org-scoped as well as role-scoped
  • Email and SMS notifications, with consent recorded as evidence
  • Read-only Givebutter fundraising integration on the dashboard
  • Per-organization logo, colors and forms — the community sees them, not the vendor

The part that actually matters

A Postgres-backed test suite is a hard merge gate. A pre-push hook refuses a red push, CI refuses it again on the pull request, and main deploys straight to production. Green before merge is what protects the families using it.

The fundraising integration promises to be read-only. That promise is enforced by a test that fails if a write verb ever appears anywhere in the module — not by a note in a wiki that a future developer won't read.

Seven roles, multi-tenant data, real people's addresses and circumstances. A role check on its own is never sufficient; every org-scoped route verifies membership too. That is the difference between software that demos and software you can put families on.

Stated plainly

Impactly is early. One organization is live and more are onboarding. What it demonstrates is scope and standard — the full range of a production platform, built and operated to the bar a bank would expect — not scale. If you want scale references, I don't have them yet, and I'd rather you heard that from me.

How an engagement runs

Four steps. You can stop after any of them.

  1. Step 01

    Working session

    Forty-five minutes, free. What you're trying to change and what's in the way. You leave with a straight answer on whether this is worth building at all — sometimes it isn't.

  2. Step 02

    Scoped proposal

    A fixed fee, named deliverables and a date. Never an open hourly meter. If the scope changes, we re-scope in writing before anything is built.

  3. Step 03

    Build in the open

    You see working software every week, not a status deck. Early and often, so a wrong assumption costs days rather than the whole budget.

  4. Step 04

    Handover or hold

    Trained team and written documentation, and you own everything. Or I keep running it on retainer. Your call, and it isn't priced to punish the first option.

Model 01

Audit

Fixed fee · 2 weeks

The cheapest way to find out whether there's anything here. Most engagements start here, and some correctly end here.

You leave with A ranked opportunity register and a 90-day sequence, yours to use with or without me.

Model 02

Build

Project fee · scoped up front

The agent, the automation, the platform, the dashboard. Designed, built, tested and deployed.

You leave with Software running in production, a test suite, documentation, and full ownership of the code.

Model 03

Retainer

Monthly · rolling

For organizations that now depend on something and want the person who built it still on the end of the phone.

You leave with Continued development, reliability cover, and a standing seat for whatever comes up.

Capabilities

What I build with.

Languages
Python · TypeScript · JavaScript · SQL
Backend
FastAPI · SQLAlchemy · Alembic · PostgreSQL · REST APIs · JWT auth & RBAC
Frontend
Next.js · React · TypeScript · responsive interface design
AI
LLM application design · agent workflows & tool use · retrieval · evaluation · agent-assisted development
Infrastructure
Docker · Railway · GitHub Actions · CI test gates · migrations · verified backups · monitoring
Integrations
Twilio · Resend · Givebutter · third-party REST · webhooks · data import and reconciliation
JD

Jared Davies

Principal Engineer

Based
Middletown, New Jersey
Background
Senior engineering roles, major financial institutions
Education
Penn State University
Discipline
Full-stack & DevOps
Current build
Impactly

Why one person is the feature, not the compromise.

I'm a full-stack and DevOps engineer. Before this I held senior engineering roles at major financial institutions, where “it works on my machine” was never an acceptable end state — and where I learned what it costs when software that handles other people's business fails quietly.

I work AI-native. Agent-assisted development is how the work here genuinely gets done, which is why one person can ship at the scale a small team used to need. That isn't a positioning line — Impactly is the evidence, and you can go and use it.

The practical effect for you: the person you talk to in the first call is the person writing the code, and there is nobody between your problem and the person who can fix it. Nothing gets lost in a handover to a delivery team, because there is no handover.

What I don't do: discovery theatre, slide decks that recommend hiring three more people, or an hourly meter that rewards taking longer.

Tell me what you're trying to change.

Not what software you think you need — the outcome. I'll tell you honestly whether it's worth building, what it would take, and roughly what it would cost.

If the answer is that you don't need me, I'll say that on the first call rather than in month three.

Or go direct jared@daviesai.com See Impactly in production → Middletown, New Jersey · remote-first