The cockpit — mobile-first in the field, dispatch on the desk.

One home, two postures. On the phone it's a guided, thumb-reachable cockpit a tech opens at the curb. On desktop it's a dispatch board for the office — same data, same verified knowledge base, no second login.

diagbuddygo.com/app · Home

Desktop "Home" — dispatch cockpit: today's activity, the live knowledge base, and recent diagnoses with confidence.

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Guided "Get started" onboarding

Run a diagnosis, scan a nameplate, connect a CRM, invite a tech — a shop is productive in minutes, not a multi-week rollout.

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Today's activity at a glance

Diagnoses run, jobs this week, and average calibrated confidence — the dispatcher sees the floor's pulse instantly.

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The knowledge base, live on screen

Parts catalog, models covered, and error codes shown right on Home — the depth is the product, so we surface it.

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Recent diagnoses, each with a confidence score

Every job is one tap from a full report. Why it beats competitors wrapper tools dump a chat log; we give a structured, scored, re-openable job record.

The same brain, built for the truck

On a phone the cockpit collapses to a thumb-first layout with a bottom tab bar — Home, Diagnose, Scan, Jobs, Menu — so the most-used actions are always one reach away. The dark navy theme isn't just brand; it's battery-friendly for an all-day device and easy to read in a dim basement or a bright driveway.

• Bottom-tab navigation sized for gloved thumbs, not a desktop menu shrunk down.
• Same verified knowledge base and recent-job history as the desktop — no "lite" mobile gap.
• Dark-mode by design — lower battery draw and glare-free in the field.

Mobile "Home" — the field cockpit, thumb-first with a bottom tab bar.

Diagnose — nameplate scan → symptom or code.

Diagnosis starts where the model lives: the nameplate. Snap the plate to capture the model, pick the trade, drop in a fault code (the fastest path) or describe the symptom in plain English — then run a free prescreen or go straight to the full breakdown.

diagbuddygo.com/app · Diagnose

"Full Diagnosis" — trade, model (with nameplate scan), fault-code fast path, symptom description, prescreen vs full.

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Pick the trade first

Appliance, HVAC, Electrical, Phone/Tablet, IT Hardware, Dental — the router scopes to the right corpus from the first tap.

2

Nameplate Snap Scan (the camera icon)

OCR the plate → exact model identity. Why it beats competitors the model is the key to the whole verified corpus; getting it right is what makes the part right.

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Fault / error code = the fastest path

A code (F21, 5E, E24…) jumps straight to mapped cause → part → test. 2,200+ appliance codes mapped, 663 HVAC fault codes live.

4

Plain-English symptom with smart examples

"Fridge not cooling, fan silent" works as well as a code — example chips prime the field tech who's unsure where to start.

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Free prescreen, then full diagnosis

Quick prescreen costs no credit — perfect for the office to triage before dispatch. Why it beats competitors a built-in office→tech pre-screen most rivals simply don't have.

Identical flow on the phone

The same trade selector, scan, code field, and symptom box collapse cleanly onto a phone — so a tech standing at the unit runs the exact diagnosis the office would, without learning a different screen. Voice is deliberately absent: a tech tapping a quiet screen looks professional in a customer's home, where a voice assistant would not.

• Scan at the unit — capture the plate without typing a long model number by hand.
• Code-first or symptom-first — whichever the tech has, the flow adapts.
• Silent by design — no voice, no awkward talking-to-an-app in the customer's kitchen.

Mobile "Full Diagnosis" — the same flow at the unit, silent and thumb-first.

The result — part-first, verified, ready to order.

This is the screen the whole product exists to produce. We don't bury the part under paragraphs of prose — we lead with it. The first thing a tech sees is the exact OEM part to order, badged Verified for this model, with the cause, the test, the priced parts list, the estimate, and the close-the-loop write-up all underneath. This is the moat, on screen.

diagbuddygo.com/app · Diagnosis Report

"Diagnosis Report" — part-first: the verified part to order leads, then cause, priced parts, estimate, and the logged outcome.

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"Ready to order" leads the page

The exact OEM part (e.g. Lid Lock Assembly) is the hero, with an Order part button right there. Why it beats competitors the part is the moat, so the part comes first — not buried in chat.

2

"Verified for this model" badge

Dual verification flags each part Verified or Confirm-fit against the model's corpus — so a tech knows exactly how much to trust the number before they order.

3

Confidence score on the report

A calibrated confidence (e.g. 78%) sits on the header — the model knows what it knows, and says so.

4

Cause + test-spec, provable

Reported symptoms, most-likely cause, and the test to confirm it — the diagnosis is provable before anyone drives or orders.

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Recommended parts, each priced & badged

A ranked parts list with OEM pricing grounded in the verified corpus, every line carrying its own Verified / Confirm-fit flag.

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"Outcome logged" closes the loop

The tech records what actually fixed it (with a rating). Why it beats competitors that confirmed fix feeds the self-improving flywheel — a wrapper tool forgets the job the moment the chat closes.

The whole report in a tech's hand

On the phone, that same part-first report stacks into a single scroll: the verified part and Order part first, then cause, the priced parts list, the auto-estimate ($95.00 · Build estimate), the full write-up, and the outcome-logged card. One screen carries the job from "what's wrong" to "ordered, quoted, and closed."

Lead with the part

No scrolling past prose to find the number — it's the first thing on screen.

One-tap actions

Order part · Build estimate · Download PDF · Ask Moe — all from the report.

Mobile "Diagnosis Report" — the entire part-first job in one scroll.

Auto-estimate → customer-ready quote.

Diagnosis flows straight into money. From "what you found," ServiceLens builds a priced estimate — parts (with OEM pricing grounded in the verified corpus), labor, and tax — that becomes a quote you can share or push to your CRM. The numbers a shop charges most are pre-filled from saved defaults, so a quote is seconds, not paperwork.

diagbuddygo.com/app · Repair Estimate

"Build the estimate" — job details, parts, labor & tax (pre-filled from saved defaults), then Compute estimate.

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Carries the diagnosis forward

Equipment and "what you found" come straight from the report — no re-typing the job to price it.

2

Parts priced from the verified corpus

Add the recommended OEM parts with quantities and unit prices. Why it beats competitors the pricing is grounded in the same verified parts data that produced the diagnosis — not a guess.

3

Labor & tax pre-filled from saved defaults

Rate and tax come from the shop's saved settings and can be overridden per estimate — fast, consistent quotes.

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Compute → customer-ready

One click produces the priced estimate, ready to share as a quote link or push into the connected CRM.

The economic loop closes here. A tech walks in, diagnoses, prices, and quotes — without a back-office round trip. One avoided second-trip pays for the whole seat, many times over.

Every job saved — and the self-improving flywheel.

Every diagnosis is saved, scored, and re-openable — a searchable library of the shop's work. But it's more than a log: when a tech closes a job and records what actually fixed it, that confirmed fix re-grounds the next diagnosis. The corpus gets smarter with every job, across the whole platform.

diagbuddygo.com/app · Diagnosis History

"Diagnosis History" — every job saved, scored, and re-openable, with Download PDF and Build estimate on each.

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A searchable library of every job

Make, model, symptom, confidence, and outcome — the whole floor's history, not a disposable chat log.

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One-tap PDF & estimate per job

Re-open any report, hand a customer a PDF, or build the estimate — long after the truck has left.

3

Confirmed fixes re-ground the next call

A logged outcome ("replaced lid lock, F2-E2 cleared") becomes grounding for the next matching symptom. Why it beats competitors confirmed field fixes are the highest-quality signal there is — and they accrue to us, not to a static parts list.

Ask Moe — conversational AI that draws the call.

Sometimes a tech doesn't want a report — they want to talk it through. "Ask Moe" is a conversational senior-tech assistant that doesn't just answer in prose: it draws the decision tree. Moe renders flow and test diagrams so a tech can follow the call branch by branch — silently, on screen, no voice required.

diagbuddygo.com/app · Ask Moe

"Moe the Tech" — walks a "fridge not cooling, fan silent" call and renders the decision tree as a flowchart.

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Renders real diagnostic flowcharts

Moe draws the decision tree — "Evap fan running? → No → check fan motor for continuity…". Why it beats competitors a wall of chat text vs a diagram a tech can actually follow at the unit.

2

Talks like a senior tech

"Start at the evaporator fan — nine times out of ten a warm fresh-food side with a silent fan…" — mentorship, not a search box.

3

Suggested next questions

"Walk me through a no-heat furnace call" — primes the less-experienced tech and keeps the conversation moving.

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Silent & on-brand

No voice, ever. Why it beats competitors a tech reading a quiet screen looks professional in a customer's home; a voice bot does not.

Built-in office tools — and a connected CRM.

ServiceLens is the diagnostic brain — and it plugs into the rest of the shop's stack. Settings is where a shop sets estimate defaults, manages the subscription, invites techs, and connects the CRM and field-service platforms it already runs. Solo techs get a built-in CRM; teams push jobs straight into the tools they live in.

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Estimate & shop defaults

Labor rate, tax, language, and preferences saved once — so every quote is consistent and fast.

2

CRM integrations — Housecall Pro, Jobber & more

Connect the FSM the shop already uses and push the diagnosed, quoted job straight into it. Why it beats competitors we don't fight the FSM — we feed it the diagnosis it can't produce on its own.

3

Built-in CRM for solo techs

No external platform required — customers, profiles, and dispatch live inside ServiceLens for the one-truck shop.

4

Invite techs & manage the seat

Add a crew member, hand off a referral credit, and manage the subscription — the whole team on one verified brain.

diagbuddygo.com/app · Account

"Account" — preferences, estimate defaults, CRM integrations, subscription, and invite-a-tech, all in one place.

Compositional Routing — ground first, verify always.

Not a GPT wrapper. ServiceLens is a proprietary system from the Sophia XT AI lab. Compositional Routing is the production grounding engine today: it routes a query to the exact verified data across multiple corpora, then dual-verifies — input and output — every recommended part against that model's corpus before it ever reaches a tech.

How ServiceLens stacks up.

Comparative and defensible — we don't claim to beat everyone at everything. We claim a specific, field-tech-first position: exact-part grounding, no voice, a large verified-OEM-parts corpus, and a self-improving flywheel, priced for SMB.

Comparisons reflect each vendor's primary public positioning; capabilities evolve. ServiceLens is complementary to FSM platforms — the AI diagnostic brain they lack, that pushes work into them.