আদর DocIntel — Product Demo

🌿

Welcome

আদর DocIntel

Your multimodal intelligence platform — upload documents, speech, transcripts, and videos, then classify, chunk, embed, search, and chat with grounded AI

Multi

Docs · Speech · Video

pgvector

Vector search

5

Languages

Step 1

Secure Registration, Login & MFA

Create your private workspace in seconds. After password validation, DocIntel can require a 6-digit email OTP before issuing the final session token.

🔐JWT-based authentication — sessions persist across page refreshes

📧Email OTP MFA — login returns a temporary challenge until the 6-digit code is verified

⏱Codes expire in 5 minutes, allow 3 attempts, and support resend with a cooldown

🛡bcrypt password hashing — your credentials are never stored in plain text

👤Role-based access — regular users and system administrators

docintel.adar.agomoniai.com

🌿

আদর

DocIntel

Email

user@example.com

Password

••••••••••

Sign in →

Check your email

Code sent to
us***@example.com

482913

Verify code

Resend in 60s · 5 min expiry

MFA can be bypassed per rollout email using MFA_BYPASS_EMAILS

Step 2

Upload, Redact, Classify & Detect Language

Drag and drop files or click to browse. Every file is stored securely in Google Cloud Storage, then optional PII redaction can protect extracted text before chunking, embedding, classification, and AI workflows.

📄Supports PDF, DOCX, CSV, images, and plain text

🔒Redact PII before chunking and embedding — emails, phones, SSNs, cards, DOB, bank IDs, IPs

🌐Detects English, Spanish, Bengali, Hindi, Arabic, and other ISO language codes

🧭Labels invoices, leases, resumes, reports, policies, and more

☁GCS path: users/{uid}/documents/{did}/source/

docintel.adar.agomoniai.com

🌿আদরDocIntel

📂 Documents💬 Chat

3

Total

1

Chunked

2

Embedded

⬆ Upload

⬆

Drop files or click to upload

PDF · DOCX · CSV · Images · TXT · 497 slots remaining

🔒 Redact PII before chunking

Lease_Extension_931_Bryant.pdf

Embedded ✓Lease · LegalEnglish · 42 chunks · PII redacted

Tags Actions

Step 3

Automatic Chunking with Metadata

Immediately after upload, DocIntel extracts text, applies optional PII redaction, and splits protected content into 350-word semantic windows with 60-word overlap — no manual step needed.

✂Smart word-window chunking preserves sentence boundaries

🔒Spacing-aware redaction catches OCR variants like jane @ example . com and 123 45 6789

🏷Each chunk carries full metadata: doc ID, user ID, filename, file type, position

💾Chunks saved to GCS: chunks/chunk_0001.txt

GCS: chunks/_metadata.json

// _metadata.json

              "document": {

                "id": "91f2d246-9d40...",

                "user_id": "a4b8c2d1...",

                "filename": "Q3_Report.pdf",

                "file_type": "pdf",

                "total_chunks": 42

              },

              "chunks": [

                { "index": 0, "word_count": 347,

                  "gcs_path": "...chunks/chunk_0000.txt" },

                { "index": 1, "word_count": 351,

                  "gcs_path": "...chunks/chunk_0001.txt" },

                ... 40 more chunks

              ]

Step 4

Browse Source & Chunks

Open the original document via a signed GCS URL, or browse every individual chunk with word count, storage path, and an on-demand PII privacy toggle for safe review.

🔗Source button opens a signed URL valid for 1 hour — no direct cloud access needed

📋Chunks panel shows all 42 chunks — click any to view full text content

🔒Chunk viewer PII toggle masks sensitive identifiers while inspecting raw text

☑Select multiple chunks for targeted chunk-level summarization

Chunks Viewer

42 Chunks

#1 · 347w

#2 · 351w

#3 · 348w

#4 · 352w

#5 · 344w

Chunk #1 of 42

🔒 PII on

GCS: users/uid/documents/did/chunks/chunk_0000.txt

Contact [REDACTED_EMAIL] · Phone [REDACTED_PHONE] · SSN [REDACTED_SSN]

The Q3 2024 financial results demonstrated strong performance across all business segments. Revenue grew 17% year-over-year to $2.8 million, driven primarily by expansion in enterprise accounts and increased adoption of premium tier subscriptions...

Step 5

One-Click Vector Embedding

Click Embed on any chunked document to generate vector embeddings. These are stored in pgvector — PostgreSQL's vector extension — enabling semantic search.

⚡Powered by Gemini embedding-2 — 768 dimensions via REST API

🐘pgvector with HNSW index for cosine similarity search

🔒Every vector is user-scoped — you can only search your own documents

Embedding pipeline

📄

Annual_Policy_2024.docx

18 chunks · Ready to embed

⚡ Embed

Embedding progress

Chunk 12 of 18 — storing in pgvector...

                ✓ Chunk 0000 → [0.023, -0.441, 0.182, ...768 dims]

                ✓ Chunk 0001 → [0.187, 0.063, -0.294, ...]

                → Chunk 0012 → embedding...

Step 6

Voice + Multilingual Chat

Ask by typing or speaking in English, Spanish, Bengali, Hindi, Arabic, or the language of the document. A chat privacy toggle redacts PII from questions, history, retrieved context, source previews, and traces before model use.

🎙Spanish mic input — Web Speech where supported, MediaRecorder + Gemini transcription fallback for Safari and Firefox

🔒PII toggle masks structured identifiers, including spaced/OCR-style formats

🔍pgvector cosine similarity — finds the most relevant chunks to your question

🌐Response language follows the selected documents when appropriate

📎Every answer cites its source chunks with similarity percentage

💬 Chat

✓ Q3_Financial × 🔒 PII Annual_Policy

■ Recording Spanish voice… transcribes with Gemini fallback

¿Cuál fue el ingreso de Q3 y su crecimiento?

🌿

Los ingresos de Q3 2024 fueron $2.8M, un crecimiento interanual de 17%, impulsado por expansión enterprise y adopción del plan premium [Source 1].

🐘 pgvector · 3 sources · 94%

Feature

Rich Table Rendering

When the AI detects tabular data — financials, schedules, comparisons — it automatically formats the response as a proper readable table.

📊Markdown tables rendered as clean HTML tables with alternating rows

✍Also renders bold, italic, bullet lists, headings, and inline code

🎯System prompt instructs the model to prefer tables for structured data

Chat — table response

Show revenue breakdown by quarter

🌿

Here is the quarterly revenue breakdown [Source 1]:

Quarter	Revenue	Growth	Margin
Q1 2024	$2.4M	+12%	24%
Q2 2024	$2.8M	+17%	26%
Q3 2024	$3.1M	+11%	28%

Operating margins improved steadily through cost optimisation [Source 1]

Feature

Multilingual Document Summarization

Summarize any chunked document — no embedding required. Choose from five types, write a custom prompt, and turn on PII privacy before sending content to Gemini.

⚡Executive — 3-5 sentence overview with key conclusions

📑By Section — identifies every section and summarizes each

🌐English, Spanish, Bengali, Hindi, and Arabic summaries with exact citations preserved

🔒Summary privacy mode redacts document text and custom prompts before generation

✏Custom — write your own: "What are the financial risks?"

📝 Summary Panel

Summarize: Q3_Financial_Report.pdf

⚡ Executive • Key Points 📑 By Section 📄 Detailed 🔒 PII ✏ Custom

▶ Generate Summary

EXECUTIVE SUMMARY✓ Complete

আদর DocIntel Q3 2024 demonstrated strong financial performance with revenue of $2.8M, up 17% year-over-year. Operating margins expanded to 28% driven by enterprise growth and cost optimisation. Management raised full-year guidance citing strong pipeline visibility.

Admin

System Administration Dashboard

Administrators get visibility across users, documents, usage, audit history, and AI traces — including question-level inspection of retrieval, prompts, tool calls, and LLM responses.

📊Live stats — total users, documents, embedded vectors, storage used

👥Promote or demote users, delete accounts with full data cascade

🗑Delete any document — removes GCS files, chunks, and pgvector rows

🧭Traces tab — select a question and inspect spans, retrieved context, tool calls, and LLM output

⚙ Admin Dashboard

24

Users

1,247

Docs

891

Embedded

84K

Vectors

UserRoleDocsActions

admin@adar.comadmin34—

user@example.comuser12↑ Promote

dev@company.comuser87🗑 Delete

Feature

Secure Password Reset

Forgot your password? No problem. আদর DocIntel sends a secure reset link directly to your email — valid for one hour, single use only.

📧One-click forgot password from the login screen — enter your email and a reset link is sent instantly

🔒Tokens are SHA-256 hashed in the database — the raw token only ever exists in the email

⏱Links expire in 1 hour and are single-use — clicking a used link shows an invalid token error

🌿Sent via Google SMTP from your domain — fully branded আদর DocIntel email

Password Reset Flow

① Login screen

Password Forgot password?

••••••••

Click "Forgot password?" to begin reset

② Email sent

From: আদর DocIntel <admin@agomoniai.com>

Subject: Reset your আদর DocIntel password

Reset Password →

Link valid for 1 hour · Single use · SHA-256 hashed

③ Set new password

New password (min 8 chars)

Set new password →

Security

Built-in Rate Limiting

Every endpoint is protected against abuse. Brute-force login attempts, credential stuffing, and API flooding are automatically blocked per user or IP.

🔐Login: 10 attempts per minute per IP — blocks brute-force credential attacks

📝Register: 3 per minute — prevents mass account creation

💬Chat: 30 queries per minute per user — fair usage across all users

📂Upload: 20 files per minute — prevents storage abuse

⚡Returns HTTP 429 Too Many Requests with a clear retry message

Rate limit response

Rate limits — per endpoint

Endpoint	Limit	Key
POST /auth/login	10/min	IP
POST /auth/verify-otp	10/min	IP
POST /auth/resend-otp	10/min	IP
POST /auth/register	3/min	IP
POST /auth/forgot-password	5/min	IP
POST /chat/stream	30/min	User
POST /documents/upload	20/min	User
POST /summarize/*/stream	15/min	User

HTTP 429 — Too Many Requests

{"detail": "Too many requests — max 10 per 60s. Please wait."}

Feature

Persistent Chat History

Every conversation is saved to the database and restored across devices, browsers, and sessions. Your chat history is always there when you need it.

💾Conversations auto-saved to PostgreSQL 1.5 seconds after each AI response

📱Access the same history from any device — not localStorage, real server storage

✏Sessions are auto-titled from your first question — easy to find later

🗂Up to 50 sessions listed per user, ordered by most recent — click any to restore

🗑Delete any session — removes all messages from the database permanently

💬 Chat — Session History

History ＋ New

What was Q3 revenue?

4 msgs · May 20

Show policy sections

6 msgs · May 19

List all deadlines

2 msgs · May 18

Key financial risks

8 msgs · May 17

✓ Q3_Financial ×

What was Q3 revenue?

🌿

Q3 revenue was $2.8M, a 17% increase YoY [Source 1].

✓ Saved · 4 messages

Ask a question…

➤

Media Intelligence

Video Intelligence Knowledgebase

DocIntel now supports video as a first-class knowledge source alongside documents, speech, and transcripts. Uploaded videos become timestamped, searchable intelligence that can be used in the normal chat experience.

🎬Upload MP4 and other video assets, store source files in GCS, and process large media through signed URL and direct cloud upload flows

⚙Extract metadata, duration, codec, resolution, audio signals, timeline segments, sampled frames, and transcript chunks

🧠Convert transcript, frames, timestamps, and visual captions into searchable chunks with embeddings and RAG retrieval

⏱Ask time-aware questions like "What was discussed from 1:00 to 3:00?" or "When did the key event happen?"

🛡Use stage-level retries, fresh signed URLs, timeout handling, fallback paths, progress percentage, current step, and last-updated status

🎥 Video Intelligence

Cloud video pipeline

Upload → GCS → signed URL → metadata → audio transcript → frames → segments → chunks → embeddings

Processing status

Transcribing audio · chunk 21 of 34 · updated 4s ago

32

segments

12

frames

✓

embedded

Timeline Q&A

Question: What happens between 1:00 and 3:00?

DocIntel retrieves timestamped transcript and frame evidence, then answers with the exact time range and supporting context.

Connected knowledgebase

Video chunks can be searched together with PDFs, policies, contracts, clinical packets, tax files, and workspace transcripts.

Example use cases: training videos, clinical recordings, lease walkthroughs, sports highlights, product demos, meetings, audits, support calls, and field inspections.

Retrieval

Hybrid Search: Vector + BM25 + RRF

Pure cosine similarity misses exact matches — product codes, invoice numbers, names, dates. আদর DocIntel fuses semantic vector search with PostgreSQL full-text search using Reciprocal Rank Fusion.

🔍pgvector cosine similarity finds semantically similar chunks — great for concepts and meaning

🔤PostgreSQL BM25-style full-text search finds exact keyword matches — product codes, names, dates

⚡Reciprocal Rank Fusion (RRF) combines both lists: score = 1/(60+vector_rank) + 1/(60+fts_rank)

🏆Chunks found by both methods score highest — hybrid badge shows when both signals agree

↩Automatic fallback to vector-only when FTS returns zero results (stopword-only queries)

Hybrid Search Pipeline

Query: "Invoice #INV-2847 payment terms"

pgvector

Cosine Similarity

top 50 semantic matches

+

PostgreSQL GIN

BM25 Full-Text

top 50 keyword matches

▼ Reciprocal Rank Fusion ▼

Re-ranked unified top 20

score = 1/(60+v_rank) + 1/(60+fts_rank)

Source badges in chat

⚡ hybrid Invoice_2847.pdf 94%

Payment terms for invoice #INV-2847: Net 30 days from receipt...

🔤 keyword Contract_Terms.pdf 61%

All invoices must reference INV prefix followed by numeric ID...

🔍 vector Payment_Policy.pdf 57%

Payments are due within the agreed net terms upon delivery...

Quality

Cross-Encoder Re-ranking via Gemini

Retrieval gets you candidates. Re-ranking gets you the right answer. A cross-encoder reads the question and each chunk together — it sees context that bi-encoders miss.

🎯Bi-encoders score query and chunk independently — fast but context-blind

🧠Gemini cross-encoder reads (query + chunk) together — scores true relevance 0.0 to 1.0

📊Fetch 20 candidates from hybrid search, Gemini re-orders → top 6 sent to LLM

✦Re-ranked badge appears on source cards — shows which chunks survived the re-ranking stage

↩Graceful fallback to retrieval order if Gemini re-rank fails

3-Stage RAG Pipeline

①

Hybrid Retrieval

pgvector + BM25 + RRF → 20 candidates

↓

②

Gemini Re-ranking

scores each (query, chunk) pair → top 6

gemini-1.5-flash

↓

③

LLM Generation

top 6 re-ranked chunks → grounded answer

After re-ranking

✦ re-ranked ⚡ hybrid Lease_2025.pdf 91%

✦ re-ranked 🔍 vector Addendum_A.pdf 74%

Vertical Product Layers

Domain Agentic Workflows

DocIntel uses one horizontal RAG, governance, and traceability platform, then adds specialized vertical workflows for healthcare, lease management, finance/tax readiness, and restaurant/menu intelligence.

🎙Clinical scribe — consent-based visit audio, 5-language transcription, SOAP note draft, patient summary, follow-up checklist, and After Visit Summary

🏥Clinical document intelligence — after-visit summaries, clinical notes, lab reports, medication lists, prior history, and care gaps

🧾Prior authorization workflow — payer criteria, evidence map, missing info packet, code readiness, coder approval, final packet PDF, and case tracker

📄Patient-ready AVS artifact — generate PDF, save to GCS, chunk, embed, and make it searchable for future chat

👥Healthcare review workbench — RBAC personas, editable packet sections, approval workflow, audit trail, and field-level change history

🏢Lease intelligence — tabbed abstract, critical dates, obligations, amendment comparison, clause flags, risk flags, readable mobile cards, and approval workflow

💼Finance & Tax readiness — MVP 1 tax submission plus MVP 2 financial planning profile, net worth, property tax assessment, property assessment, home equity, cash flow, retirement, insurance, estate readiness, hybrid extraction, and human-reviewed packets

🍽Restaurant scribe — segmented long recordings, full transcript, profile/menu extraction, deterministic item-price parsing, edit/approve/save

🛒Restaurant ordering — text or voice menu comparison, mobile comparison cards, collapsible cart, DB-backed restaurant/menu IDs, Stripe checkout, owner queue, and email notification

⭐Restaurant feedback — typed or voice feedback, semantic rating suggestion, verified-order ratings, owner response queue, and recommendation signals

⇄Menu search, price comparison, and recommendations — participating restaurants keep menu data searchable, comparable, rated, and order-ready

💬Patient and team chat — ask what happened, what changed, what evidence exists, what is missing, and what action is next

🔎Grounded RAG — cited answers across transcripts, clinical records, payer policy guides, and approved workflow outputs

🔐Governance — PHI/PII redaction, role-based workspaces, traces, audit logs, evaluation scores, and human approval

Vertical Workflows — Product Feature Map

Clinical Scribe

Visit audio
SOAP + AVS
PDF artifact

Restaurant Scribe

Audio segments
Menu parser
Ratings + orders

Lease Intelligence

Tabbed abstract
Dates + obligations
Clause + risk cards

Finance & Tax

Tax + planning
Net worth + cash flow
Advisor review

Governance

RBAC personas
Field audit
Human approval

Workflow Inputs

Patient-doctor audio After-visit summary Clinical notes Lab reports Medication lists Lease + amendments Restaurant owner audio Saved transcripts Restaurant DB rows Collapsible carryout cart Mobile price cards Customer ratings Prior history Payer policies Prior auth packets Coder-approved codes Mobile Tags/Actions Tax readiness packets 5 languages

Feature

Output

User

Scribe

Transcript, SOAP note, patient summary, follow-ups, AVS

Care team

AVS PDF

Generate, save to GCS, chunk, embed, and chat later

Patient

Clinical AI

Patient context, labs, meds, risks, care gaps

Provider

Prior auth

Criteria tabs, AI code candidates, coder approval, readiness gate, case tracker

Billing

PDF packets

Prior auth packet, missing information request, AVS-style header

Reviewer

Tax readiness

W-2/1099 detection, missing docs, prior-year compare, CPA packet

CPA/EA

Chat

Cited answers from visits, records, policies, packets

Patient

Audit

Trace, quality score, PHI flags, approval history, field changes

Admin

Carryout

Compare menus, add from chat, edit qty, Stripe pay, owner accepts or refunds

Food lover

Quality Loop

Feedback on AI Responses

Every AI response includes a thumbs-up and thumbs-down button. Your ratings create a quality signal that identifies bad retrievals and poor answers — building a continuous improvement loop.

👍Thumbs up or down on every AI message — click once to rate, click again to change

💾Ratings saved to PostgreSQL with the triggering question and answer for context

🔄Persistent across sessions — your ratings are restored when you reload or switch sessions

🎯Selecting one rating dims the other — clear visual state: green for helpful, red for not helpful

📊Admins can review all feedback via the API — thumbs counts, recent ratings, and user emails

💬 Chat — Feedback

🌿

Q3 revenue was $2.8 million, a 17% increase year-over-year, driven primarily by enterprise contract growth in the APAC region.

✓ Marked helpful

🐘 pgvector 2 sources ▾

🌿

I couldn't find specific information about the Q3 cost breakdown in the provided documents.

✗ Marked not helpful

Saved to PostgreSQL

                message_id: "abc123xyz"

                rating: +1 (helpful)

                question: "What was Q3 revenue?"

                restored: ✓ on next session load

Export

Export Chat & Summaries

Every conversation and summary can be exported as a Markdown file. Take your AI-generated insights into Notion, Confluence, Word, or any editor — with sources included.

↓Export any chat session as Markdown — click the Export button in the chat top bar

📄Includes all questions, answers, and source citations (document name, chunk, relevance %)

📝Export any summary as Markdown — button appears in the summary panel after generation

⚡Instant client-side generation — no server round-trip, no waiting

🌐Open .md files in Notion, Obsidian, VS Code, Typora, or paste into any editor

Chat Export — Q3_Revenue_Analysis.md

Chat top bar

✓ Q3_Financial.pdf 3/3

↓ Export

              # Q3 Revenue Analysis

              *Exported from আদর DocIntel · May 20, 2026*

              ---

              **You:** What was Q3 revenue?

              **আদর DocIntel:** Q3 revenue was

              $2.8M, up 17% YoY...

              > **Sources:** Q3_Report.pdf

              > (chunk 3/12, 94%)

              ---

Summary panel header

Executive Summary — Q3_Financial.pdf

↓ Export .md

✕

Metering

Strict Usage Metering & Analytics

Every costly action is tracked and enforced in real time. Users click 📊 Usage to see documents, file size, chat queries, embedding chunks, summaries, compares, lease AI, voice transcriptions, evals, storage, and all-time activity.

📊Usage panel in the header — always one click away, loads live stats from PostgreSQL

📤Tracks documents, upload size, embedding chunks, chat, summaries, compares, lease AI, voice, and eval cases

🧱Quota is reserved atomically before expensive model work starts, preventing concurrent bypass

🌡Progress meters turn amber at 80% of your plan limit — visual warning before hitting the wall

🛑Over-limit requests return clear 403, 413, or 429 errors before consuming AI capacity

📊 Usage & Limits

Your plan: Pro Plan

📂

12

Documents

of 500

💬

23

Queries today

of 500

Enforced plan limits

Documents 12 / 500

Queries today 23 / 500

Embedding chunks today 84 / 100

8/50
Compares

4/50
Lease AI

16/250
Voice

All-time activity

📤 Uploads47

⚡ Embeddings1,284

💬 Queries312

⇄ Comparisons8

🏢 Lease AI17

📊 Eval cases24

Billing

Tiered Limits & Plan Management

Three plans — Free, Pro, and Enterprise — with limits enforced per user in the database. During launch, Free subscriptions receive enterprise-equivalent limits through August 31, 2026 while admins can still upgrade accounts or tune JSONB quota overrides.

🎁Launch access: Free subscription gets enterprise-equivalent capabilities through August 31, 2026

⚡Pro: 500 docs, 500 MB files, 500 queries/day, 100 embedding chunks/day, 50 summaries/day, 50 compares/day

🏢Enterprise: unlimited docs, queries, summaries, compares, lease AI, voice, and evals; 10 GB files

⚙Admins change any user's tier with a dropdown in the Users table — takes effect immediately

🔧Lease AI, voice transcription, and eval quotas are enforced alongside core RAG usage

🛑Exceeding limits returns HTTP 403, 413, or 429 with a clear upgrade message

⚙ Admin → Users

FREE LAUNCH

Enterprise access
Until Aug 31, 2026
10 GB files
Workflow access

POPULAR

PRO

500 docs
500 MB
500 q/day
50 summaries

ENTERPRISE

∞ docs
10 GB
∞ q/day
∞ workflows

Email

Role

Tier

Docs

admin@agomoniai.com

admin

12

user@company.com

user

3

After launch — standard Free quotas return clear HTTP 403/429 messages before AI capacity is consumed.

HTTP 429 — Daily query limit reached (50 on Free tier). Try again tomorrow.

Atomic check — quota is reserved before model calls, embeddings, voice transcription, evals, or lease agents run.

Collaboration

Team Workspaces

Create shared workspaces where your team collaborates on the same document set. Each workspace has role-based access — owners manage membership, editors upload and embed, viewers can only read and chat.

🏢Create a workspace, invite teammates by email — they must have an existing account

👑Owner — full control: rename, delete, manage members, upload, embed, and chat

✏Editor — can upload documents and run embeddings, but cannot manage members

👁Viewer — read-only: upload button hidden, can chat and search shared documents

🔀Switch context with one click — workspace badge appears in the header, chat history and documents scope to that workspace automatically

🗑Delete protection — must type the workspace name exactly to confirm; warns about other members losing access

🏢 Workspaces — Q3 Finance Team

Workspaces

🏠 Personal

🏢

Q3 Finance

3 members · 8 docs

🏢

Legal Review

2 members · 3 docs

New workspace

Team name…

＋

Q3 Finance Team

3 members · 8 documents · your role: owner

✏ Rename

✓ Active

🗑 Delete

Member

Role

Change

admin@agomoniai.com

owner

—

analyst@firm.com

editor

editor ▾

✕

partner@client.co

viewer

viewer ▾

✕

Invite member

colleague@company.com

viewer ▾

+ Invite

👑 Owner
Full control

✏ Editor
Upload + embed

👁 Viewer
Read + chat

Trust

Email Verification + Login MFA

Every new account verifies email before first login, and verified users can be protected again at sign-in with a short-lived 6-digit OTP challenge.

📧Verification email sent immediately on registration — powered by Gmail SMTP

🔐MFA after password check — the API returns mfa_required until OTP is confirmed

⏱OTP is hashed in PostgreSQL, expires in 5 minutes, and is marked used after successful login

🔒Unverified accounts receive HTTP 403 on login with a clear message to check inbox

🔄Resend button available — new 24-hour link sent without revealing if email exists

🛡Tokens stored as SHA-256 hashes — raw token never persisted to the database

📧 Check your inbox

📧

Verify your email

We sent a link to
analyst@firm.com

Click the link to activate your account.
It expires in 24 hours.

Back to login

Email received

Verify your আদর DocIntel email address

From: আদর DocIntel <admin@agomoniai.com>

Welcome to আদর DocIntel!

Please verify your email address by clicking the link below:

                  https://docintel.adar.agomoniai.com/verify-email?token=abc123...
                

This link expires in 24 hours.

HTTP 403 — Please verify your email address before logging in. Check your inbox or use the resend link.

MFA login challenge

5 min

POST /auth/login returns mfa_required, a temporary MFA token, and an email hint. The user enters the 6-digit code, then /auth/verify-otp issues the normal access token.

3 attempts resend cooldown bypass env for rollout

Ops & Compliance

Privacy, Audit & Traces

Audit logs explain what users did. PII redaction protects sensitive identifiers. Traces explain how an AI answer was produced, including whether privacy mode was enabled for a question or summary.

🔔In-app toast when embedding completes: "Q3_Report.pdf is ready for chat (47 chunks)"

📧Email notification sent to uploader via Gmail SMTP when status changes to embedded

📬Workspace invite email sent when a member is added to a team workspace

🔍Audit log table in Admin dashboard — action, user, resource, IP address, timestamp

🔒PII redaction — upload-time and runtime privacy modes for chunks, chat, summaries, comparisons, and traces

🧭Trace tab — filter by question, open a trace, and inspect spans, retrieved chunks, LLM/tool events, prompts, and response

🧩How it works — X-Trace-Id connects trace_flows, trace_spans, and trace_llm_events for one chat or voice request

🗄Stored in PostgreSQL audit_log and trace tables — query directly for compliance and debugging exports

⚙ Admin → Traces

✅

Embedding complete

"Q3_Financial.pdf" is ready for chat (47 chunks embedded)

Question Traces

Filter by question

↻ Refresh

Question

Flow

Status

Trace

Q3 revenue growth?

RAG

success

trc_8fa…

Spanish contract summary

voice

traced

trc_2bc…

Invoice payment terms?

retrieve

review

trc_91d…

Why traceability matters: prove the answer came from the right evidence and identify the exact failure point

                X-Trace-Id → trace_flows → trace_spans → trace_llm_events → Admin question view
              

Organisation

Document Recovery, Tags & Mobile Menus

Errored documents can be retried with one click, tags organise large libraries, and mobile document cards use compact Tags and Actions menus so metadata and workflows stay usable on small screens.

↻Retry button on error-state documents — wipes stale chunks, re-downloads from GCS, re-runs the full chunk → embed pipeline

🏷Create colour-coded tags — assign multiple tags to any document with a single dropdown click

✕Remove tags from documents instantly — the ✕ on each chip unassigns without deleting the tag

🔍Live search bar filters documents as you type — no page reload

⇅Sort by date, name A–Z, file size, or status — combined with tag filter for precision

🗄Tags stored in PostgreSQL — survive sessions, shared across devices, visible per-user

📱Mobile Tags menu — embedded status, workspace/personal scope, file type, language, chunk count, PII, and domain/type

⋯Mobile Actions menu — Source, Chunks, Summary, Lease, Healthcare, Embed/Re-embed, Retry, and Delete

📂 Documents — Tags & Filter

🔍 Search…

🏷 Q3

↓ Date

🏷³

Q3 Finance (3) ✕ Legal (5) ✕ HR (2) ✕

New tag name…

＋ Add

📄

Q3_Financial_Report_2026.pdf

Tags Actions

Tags menu

Embedded ✓ Personal PDF English 47 chunks Prior Auth

Actions menu

Source

Chunks

Summary

Healthcare

📝

corrupted_report.docx

Error Chunking timeout after 30s

↻ Retry

🔗 Source

🗑 Delete

Monetisation

Stripe Billing + Restaurant Payments

Full Stripe Checkout integration covers subscriptions and paid restaurant carryout orders. Subscription billing auto-activates plans on login, while restaurant checkout returns customers to the same workspace, submits paid orders by webhook, and supports refund-on-reject.

🎁Free launch access — enterprise-equivalent capabilities until August 31, 2026

🚀Pro ($20/mo) — 500 docs · 500 MB files · 500 queries/day · 50 summaries/day · 50 compares/day

🏢Enterprise ($100/mo) — unlimited docs, queries, summaries, compares, lease AI, voice, and evals; 10 GB files

🎁3-day free trial on Pro & Enterprise — card collected, no charge until day 4

🔄Auto-sync on login — Stripe subscription status checked on every sign-in, tier updated instantly

🔒Cancel anytime via Stripe portal — downgrade to Free reflected on next login automatically

🍽Restaurant checkout — paid carryout orders return to the same workspace and enter the owner queue after webhook confirmation

↩Refund-on-reject — paid restaurant orders are refunded before being marked rejected

💳 Plans & Billing

Free Launch $0

Enterprise-equivalent until Aug 31, 2026
10 GB files · workflows included

✓ Active