← DAX Labs / Work
DAX Labs — AI — Flagship

The agent is a
glass box.

Atlas is a support agent for a fictional SaaS, and every move it makes is on the record. Ask it anything: watch it plan → retrieve → rank → compose, with per-chunk retrieval scores drawn as live bars. Flip few-shot and chain-of-thought and the pipeline visibly changes shape — then open “why this answer” and audit the exact chunks it used. Most AI gigs show screenshots of a workflow canvas. This one runs.

Live pipeline trace Retrieval scores per chunk Prompt-technique toggles Cited, or refused
A
Atlas · Northwind Cloud support
online · grounded on 6 docs · refuses below 0.55
scripted corpus
no external calls
Prompt techniques

Agent trace pipeline: 4 steps

This turn

Intent
Docs ≥ 0.55
Confidence
Latency
Prompt tokens
Techniquesnone

Knowledge base 6 docs · 18 chunks

Shipped surfaces — same hands

The demo above is a habit,
not a one-off.

Knowledge bot answering with a citation to the source PDF and page

A delivered knowledge bot citing its source PDF and page — the buyer-facing face of the retrieval trace Atlas opens up.

RAG · citations
LeadPilot AI lead-scoring dashboard with ranked, scored leads

LeadPilot, an AI lead-scoring dashboard — ranked, scored AI interfaces like the retrieval bars are home turf.

Scored · ranked UIs
The offer

Fixed price. Fixed days.
Your repo, your keys.

Starter

$3205 days
  • 1 AI feature, up to 3 screens, one model wired in
  • Web platform, deployed to a live URL
  • Full source code in your repo
  • 2 revisions

Standard

$85012 days
  • Up to 8 screens, auth, database, AI features, basic admin
  • Web or mobile
  • Deployed + setup doc
  • 4 revisions
  • One-page scope approved before code; fixed price
What this demo shows

Pro

$2,40021 days
  • Unlimited screens, user accounts, Stripe billing, admin panel
  • RAG over your data with retrieval that cites sources
  • Web + mobile from one codebase
  • Deployed + setup doc + handoff call
  • Unlimited revisions within scope
  • 14 days free bug fixes
Add-ons Extra messaging channel +$60 Monthly maintenance & answer updates +$120/mo Voice or phone bot (Twilio) +$200
What the market gets wrong

Four ways AI gigs burn buyers —
and the fix for each.

“The bot worked, mostly. We paid, said thanks — and quietly started shopping for the next developer.”

The DAX answerAdequate loses clients in silence. The bar here is a build you'd show off: a glass-box agent you operated yourself before paying a cent — and 14 days of free bug fixes after handoff so it stays that way.

“We're on developer number three. The first two billed us and couldn't fix the thing.”

The DAX answerSerial re-hiring is a scoping failure. You get a one-page scope approved before any code, a fixed price against it, and a deployed URL at every milestone — progress you can click, not status updates.

“The listing was AI-generated word salad — typos included — from someone selling AI expertise.”

The DAX answerNo capability essays. The proof is operable: toggle chain-of-thought above and watch the pipeline restructure itself. If a studio can't show its agent thinking, ask what else it can't show.

“We couldn't tell what we'd bought until delivery. Buzzwords in, wrong-answer chatbot out.”

The DAX answerWrong answers are a design choice. Atlas retrieves, cites, and refuses below a visible threshold — ask it the off-corpus question and watch it decline to guess. That behavior is in the spec, demonstrated before kickoff.
Field index — AI services

Six services,
one glass box to prove them.

01 · Prompt engineering

Prompt engineering

The few-shot and chain-of-thought toggles above Atlas's chat are prompt engineering made visible — same question, different pipeline, measurably different answer.

02 · RAG & knowledge bots

RAG & knowledge bots

The retrieve step's per-chunk score bars and every citation chip under Atlas's answers are this service running live — grounded on docs, not vibes.

03 · RLHF & model evaluation

RLHF & model evaluation

The rank step and the 0.55 threshold readout in “why this answer” are the evaluation muscle — scoring candidate passages and keeping only the ones that survive.

04 · AI consulting

AI consulting

Ask Atlas the off-corpus roadmap question and watch it refuse below threshold — knowing where AI shouldn't answer is the half of consulting most vendors skip.

05 · Custom AI tools

Custom AI tools

The whole glass box — chat, trace, metrics, and inspector wired into one surface — is what “an AI feature inside your product” looks like when it's finished, not mocked.

06 · AI content pipelines

AI content pipelines

The compose step drafting only from ranked chunks is the same grounded-generation loop our volume pipelines run — with a human checkpoint where it matters.

Market context — what top-listed AI sellers show

4.99 stars · 874 reviews · 910 projects completed · 100% completion

4.91 stars · 624 reviews · 671 projects completed · 98% completion

Star walls prove people paid. None of them show the agent loop executing. You just ran one.

Want your support load
answered with receipts?

Same loop, your docs: retrieval that cites sources, refusal below threshold, and a trace your team can audit. Scoped on one page, priced fixed, shipped to your repo.