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Desmok AI

SHT 08 · REFERENCE BUILDS

Blueprints: what we build, opened up

Three reference builds, fully opened: the problem, the architecture, and exactly what ships.

Blueprints, not client case studies. No borrowed logos, no vague success stories — just the systems we design, price, and ship.

BLU 01 · AI SUPPORT AGENTBLU 02 · BACK-OFFICE AUTOPILOTBLU 03 · SAAS MVP

SEC 02 — BLU 01

AI Support Agent

A support agent trained on your docs and policies that answers on web and WhatsApp — and knows when to hand off to a human.

The problem

Support queues grow faster than support teams — the same forty questions, every day. The requirement is narrow and hard: answer only from what the company has actually written down, escalate cleanly when it can't, and leave a record of every conversation.

The system

The agent never free-styles: every answer is retrieved from your indexed documents first, then written with sources attached. When retrieval comes back thin, the conversation moves to your team with full context. Everything is logged, so you can audit what was said.

What ships

  • Web chat widget, embeddable in one script tag
  • WhatsApp channel on your business number
  • Document ingestion indexed to a vector DB, re-synced on a schedule
  • Retrieval-grounded answers with source citations
  • Confidence-gated handoff, plus a searchable conversation log
  • Evals run before any prompt or model change goes live

STACK

LLM APIsRAGvector DBWhatsApp API

Runs on

MONITORING
answer-quality evals on a schedule; alerting on error rate, latency, and escalation spikes.
LOGGING
every conversation, retrieval result, and handoff stored and queryable — auditable by your team, exportable anytime.
HUMAN HANDOFF
always available, never buried. The agent offers a person on low confidence and on explicit request.
MODEL CHANGES
provider or model swaps are config-level; the eval suite gates every change.
Start this buildSee AI Integration service

Free scoping first. You get the build plan either way.

System schematic of an AI support agent: web and WhatsApp channels feeding an LLM with retrieval over company documents, with human handoff and conversation logging.

BLU 01 · REFERENCE BUILD

NODES

  1. N1WEB WIDGET
  2. N2WHATSAPP
  3. N3AGENT CORE — LLM API
  4. N4RETRIEVAL (RAG)
  5. N5VECTOR DB — YOUR DOCS & POLICIES
  6. N6HUMAN HANDOFF — TICKET/INBOX
  7. N7CONVERSATION LOG
  8. N8DOC SYNC (INGESTION)

FLOWS

  1. N1 · N2 → N3USER QUESTION
  2. N3 → N4QUERY
  3. N4 → N5SEMANTIC SEARCH
  4. N5 → N4 → N3RELEVANT PASSAGES
  5. N3 → N1 · N2GROUNDED ANSWER + SOURCES
  6. N3 → N6LOW CONFIDENCE / USER ASKS → ESCALATE
  7. N3 · N6 → N7EVERY CONVERSATION LOGGED
  8. N8 → N5SCHEDULED RE-INDEX

INTEGRATION POINTS

  • INT A — client help-center/docs source feeding N8
  • INT B — WhatsApp Business API on N2
  • INT C — client's existing ticketing tool or shared inbox on N6
FIG 01.A · SUPPORT AGENT — DATA FLOW

SEC 03 — BLU 02

Back-Office Autopilot

Invoices, forms, and emails read by AI, routed to the right system — with a summary on your desk every morning.

The problem

Someone on your team spends their morning copying numbers out of PDFs. Someone else forwards emails, updates the CRM by hand, and chases the same three follow-ups every week. It's repetitive, rule-bound, and document-heavy — exactly the work machines should be doing.

The system

Documents arrive from email, uploads, and forms. OCR plus an extraction model turns each one into structured fields with a confidence score. High-confidence items route straight into your CRM; anything uncertain stops in a review queue. Every morning, one summary lands in your inbox.

What ships

  • Workflow audit write-up: your manual flows, mapped and prioritized
  • Intake watchers on your inbox, drive folder, and web forms
  • OCR + AI extraction tuned to your document formats
  • n8n routing into your CRM and sheets — visible and editable
  • Human review queue for low-confidence items, with one-click approve
  • Morning summary, plus alerts when a source or destination fails

STACK

OCRn8nCRM & Sheets APIsscheduled jobs

Runs on

MONITORING
every workflow run tracked; failures alert immediately with the exact step and payload that broke.
LOGGING
an audit trail per document — received, extracted, routed, by which rule, at what confidence. Nothing vanishes.
HUMAN HANDOFF
the review queue is first-class, not an afterthought. Confidence thresholds are yours to tune.
CHANGE TOLERANCE
when a connected tool changes its API, alerts fire before bad data spreads.
Start this buildSee AI Automation service

Starts with a free automation audit. The audit is yours to keep.

System schematic of a back-office automation: invoices, forms, and emails read by OCR and AI, routed to CRM and spreadsheets, with a scheduled morning summary.

BLU 02 · REFERENCE BUILD

NODES

  1. N1EMAIL INBOX
  2. N2INVOICES / PDFs
  3. N3WEB FORMS
  4. N4INTAKE — WATCHERS & TRIGGERS
  5. N5OCR + AI EXTRACTION
  6. N6ROUTER — n8n WORKFLOWS
  7. N7CRM
  8. N8SHEETS / LEDGER
  9. N9MORNING SUMMARY — EMAIL/CHAT
  10. N10REVIEW QUEUE (HUMAN)

FLOWS

  1. N1 · N2 · N3 → N4NEW ITEM DETECTED
  2. N4 → N5RAW DOCUMENT
  3. N5 → N6STRUCTURED DATA (FIELDS + CONFIDENCE)
  4. N6 → N7CONTACTS, DEALS, STATUS
  5. N6 → N8LINE ITEMS, AMOUNTS
  6. N6 → N9QUEUED FOR DIGEST
  7. N9 → N9SCHEDULED · EVERY MORNING
  8. N5 → N10LOW CONFIDENCE → HUMAN CHECK
  9. N10 → N6APPROVED

INTEGRATION POINTS

  • INT A — mail provider API on N1
  • INT B — CRM API on N7
  • INT C — Google Sheets API on N8
  • INT D — chat/email delivery on N9
FIG 02.A · BACK-OFFICE AUTOPILOT — ROUTING FLOW

SEC 04 — BLU 03

SaaS MVP

Auth, payments, admin, and a responsive UI on cloud infrastructure that scales — CI/CD from day one, prototype nowhere in sight.

The problem

Most MVPs are built to demo, not to run. Auth gets faked, payments get postponed, and the "launch" is a deploy nobody can repeat. Founders need the smallest product that can take signups, take money, and take load — on an architecture a future team won't curse.

The system

The shape is deliberately boring, and that's the point. A Next.js front end and admin on top, one API layer owning auth, payments, and business logic, Postgres and storage underneath, all inside a cloud account you own. Migrations are versioned; deploys happen on merge.

What ships

  • Scoped feature set, fixed before the build starts
  • Production web app: responsive UI, design system applied
  • Auth done properly: sessions, reset, SSO-ready, role-based access
  • Payments end to end: plans, checkout, webhooks, invoices
  • Admin dashboard, and Postgres with versioned migrations
  • Cloud infrastructure as code in your account, with CI/CD

STACK

React/Next.jsNode/PythonPostgresAWS/GCP

Runs on

MONITORING
uptime and error tracking wired at launch; alerts go to your channel, not into a void.
LOGGING
structured application logs and request tracing from the first deploy — debugging is a query, not archaeology.
DEPLOYS
every merge runs tests and ships through CI/CD; rollbacks are one command.
AFTER LAUNCH
optional Support retainer — maintenance, monitoring, and roadmap work with the same team that built it.
Start this buildSee MVP-to-Launch service

Fixed scope, fixed quote.

System schematic of a SaaS MVP: Next.js front end, API layer with auth and payments, Postgres database, and cloud infrastructure with CI/CD.

BLU 03 · REFERENCE BUILD

NODES

  1. N1WEB APP — NEXT.JS (SSR/ISR)· CLIENT
  2. N2ADMIN DASHBOARD· CLIENT
  3. N3API LAYER — NODE/PYTHON· APPLICATION
  4. N4AUTH — SESSIONS/SSO· APPLICATION
  5. N5PAYMENTS — SUBSCRIPTIONS & WEBHOOKS· APPLICATION
  6. N6BACKGROUND JOBS· APPLICATION
  7. N7POSTGRES· INFRASTRUCTURE
  8. N8OBJECT STORAGE / CACHE· INFRASTRUCTURE
  9. N9CLOUD — AWS/GCP· INFRASTRUCTURE
  10. N10CI/CD PIPELINE

FLOWS

  1. N1 · N2 → N3HTTPS / API CALLS
  2. N3 ↔ N4SESSION / TOKEN
  3. N3 ↔ N5CHECKOUT + WEBHOOK EVENTS
  4. N3 → N7QUERIES (MIGRATIONS VERSIONED)
  5. N3 → N8FILES / CACHE
  6. N3 → N6ASYNC WORK (EMAILS, EXPORTS)
  7. N6 → N7RESULTS
  8. N10 → N1DEPLOY ON MERGE
  9. N10 → N3MIGRATE + TEST
  10. N10 → N9INFRA AS CODE

INTEGRATION POINTS

  • INT A — payment provider on N5
  • INT B — transactional email on N6
  • INT C — GitHub Actions feeding N10
FIG 03.A · SAAS MVP — SYSTEM TIERS

SEC 05 — YOUR BUILD

SHT 08 · NEXT SHEET

Your build could be sheet four.

Tell us the problem. We'll come back with the blueprint — architecture, timeline, fixed quote — yours to keep, whether or not we build it together.

Book a free intro callSee how we work

No pitch, no jargon. NDA-friendly.