Valeo Research · February 2026

Type. Done.
The Real World AI Engine.

Agent V7 is a Telegram bot with 150+ real-world actions. It sends your emails, books your flights, moves your crypto, calls your mom in your voice, and earns money while you sleep. The era of chatbots that just answer questions is over.

8 min read

Every AI assistant on the market has the same problem: they talk. They explain. They suggest. They draft. They give you options and links and "here's how you could do it."

They never actually do it.

Agent V7 does it. You say "email my investor the deck" — it sends the email. You say "swap 2 SOL to USDC" — the transaction is on-chain. You say "call my mom and wish her happy birthday" — your phone rings, and she hears your voice.

This isn't a chatbot. This is a general-purpose execution engine that lives inside Telegram.

150+
Action Markers
100+
Real Actions
15+
Integrations

How It Works

V7 runs on a marker-based architecture. When you send a message, Claude interprets your intent and emits structured action markers. A streaming processor intercepts these markers in real-time and executes them — API calls, blockchain transactions, browser automation, file creation — before the response even finishes generating.

The result: you type a sentence. The world changes.

Architecture — Message to Action
You send
a message
Claude
interprets
Markers
emitted
Streaming
processor
API calls
Gmail, Stripe...
Blockchain
Solana txns
Browser
Playwright
Executor
routes action

Every action goes through an approval layer. Anything that costs money, sends a message to someone, or makes an irreversible change requires explicit confirmation. You stay in control. The agent handles the execution.

What It Actually Does

Not "can help with." Does. Here's the real list, grouped by what changes in the real world after you send a message.

CommunicationSend & reply to emails
CommunicationForward emails, SMS, WhatsApp
CommunicationPost to Slack, Discord
CommunicationCall phones in your cloned voice
SocialPost tweets & threads
SocialCross-post to all platforms
MoneySend SOL, USDC on-chain
MoneySwap tokens via Jupiter
MoneyCreate Stripe invoices
MoneyGenerate payment links
FilesCreate PDFs, CSVs, images
FilesUpload to Google Drive
Dev OpsCreate GitHub issues & PRs
Dev OpsCreate Notion pages
Dev OpsLinear tickets, Vercel deploys
Dev OpsUptime monitoring & alerts
CalendarCreate, cancel, reschedule events
CalendarSend meeting invites
ShoppingOrder food from Uber Eats
ShoppingSearch Amazon, book restaurants
TrackingExpenses, habits, time, journal
TrackingPrice alerts, news monitoring
IntelligenceMulti-agent parallel research
IntelligenceYouTube summarizer, web research

Every one of these ends with a state change. An email sent. A transaction confirmed. A file uploaded. An event on someone's calendar. Not text. Reality.

Your Voice. Their Phone.

V7 clones your voice from a few Telegram voice messages using ElevenLabs. Then it can call any phone number in the world via Twilio and deliver a message — in your voice.

Flow — Voice Clone Call
Send 3-5
voice msgs
ElevenLabs
clones voice
Clone
stored
"Call mom,
say happy bday"
Generate speech
in your voice
Twilio
calls number
Mom picks up.
Hears you.
My AI called my mom in my voice to wish her happy birthday. She talked to it for two minutes before she realized.

Safety: emergency numbers are blocked, rate-limited to 5 calls per hour, and every call requires explicit confirmation. You hear a preview before it dials.

Clone Mode — Your Digital Twin

V7 analyzes your message history — writing style, vocabulary, humor, opinions, energy, sentence structure — and builds a personality model. Then it generates a shareable link. Anyone who clicks it talks to "you."

Flow — Digital Twin
500+ messages
analyzed
Personality
profile built
Share link
generated
Friend clicks
your link
Chats with
"you"
You see stats:
visitors, chats

The clone matches your exact writing patterns. Lowercase if you use lowercase. Emojis if you use emojis. Your catchphrases, your humor, your opinions. Friends genuinely can't tell.

This is the feature people will screenshot and share. "My AI twin is live. See if you can tell the difference."

Multi-Agent: Parallel Execution

When you say "research 10 competitors and email me a report," V7 doesn't run 10 sequential searches. It spawns 10 independent Claude instances that research simultaneously. You watch the progress bar update in real-time. When all agents finish, the results are compiled into a single comprehensive report.

Flow — Multi-Agent Research
"Research 10
competitors"
Task planner
splits into 10
Agent 1
Agent 2
Agent 3
🔄
Agent 4
...
Agent 10
Results
compiled
PDF
generated
Emailed
to you

A task that would take you 3 hours takes V7 about 90 seconds. And you didn't lift a finger.

Native Solana Wallet

Every V7 user gets a Solana wallet. SOL, USDC, and any SPL token. The agent can send, receive, and swap autonomously — with your approval on every transaction.

You: Swap 2 SOL to USDC
🔄 Swap Quote
2.0 SOL → 356.90 USDC
Rate: 1 SOL = $178.45
Slippage: 0.5%

[Confirm Swap] [Cancel]
You: [Confirm]
✅ Swapped! Tx: 4xK9p...vR2m
New balance: 356.90 USDC

Jupiter aggregator finds the best route. On-chain, verified, logged. This is v402 payment rails in action — the same infrastructure that will power agent-to-agent payments across the Valeo ecosystem.

Automation Engine

V7 isn't just reactive. It runs automations in the background 24/7.

You: When I get an email from investor@vc.com, create a Linear ticket and notify me on Telegram
✅ Workflow created:
Trigger: Email from investor@vc.com
Actions: Create Linear ticket → Send Telegram notification

Running 24/7. I'll handle it.

The workflow engine supports triggers (email arrival, price thresholds, time-based, keyword detection) and actions (reply to email, post to Slack, create issues, send SMS, tweet, swap tokens). Combine them freely. This is your personal Zapier — but it lives in a chat message.

Flow — Workflow Automation
Trigger:
email, price,
time, keyword
Rule
engine
Action:
email, Slack,
SMS, tweet,
issue, swap
User
notified

It Learns You

V7 doesn't just remember what you tell it. It analyzes your patterns over time. When you order coffee every Monday at 8am, it notices. When you always email your investor after board meetings, it drafts the email before you ask.

The pattern engine runs weekly analysis on your message history, expense logs, habit data, and time tracking. It discovers time-based routines, action sequences, and frequency patterns. Then it proactively suggests actions at the right moment.

Suggestions have a confidence score. Accept them and confidence increases. Dismiss them and it stops suggesting. It adapts to you, not the other way around.

Agent-to-Agent Communication

This is where it gets unprecedented. Your V7 can talk to someone else's V7.

You: Tell Sarah's agent to schedule a meeting next week
🤖 Contacting Sarah's agent...

Sarah's agent checked her calendar. She's free Tuesday 2-3pm and Thursday 10-11am.

I'm available on both. Want me to book Tuesday 2pm?

[Book Tuesday] [Book Thursday] [Negotiate]

Two AI agents negotiate on behalf of two humans. Calendar checked. Time agreed. Events created in both calendars. Meeting invite sent. No human had to go back and forth. This is the future of scheduling — and it works today.

It Gets Better on Its Own

V7 tracks every feature interaction — what succeeded, what failed, what users asked for that it couldn't do. Every week, it analyzes its own performance data and generates an improvement report: top failure points, most-requested missing features, usage insights, and even drafts new skill files for capabilities it doesn't have yet.

The bot literally writes its own new features.

The Silent Group Agent

Add V7 to any Telegram group. It sits there silently, reading everything. Then DM it: "what did I miss in the Dev Team group?" You get a concise summary of 500 messages in 5 bullet points. "What did Alex say about the deadline?" — instant answer. "Translate everything Mohammed said." — done.

It never speaks in the group unless @mentioned. It's your silent assistant that's always listening.

V7 vs. The Competition

Capability Agent V7 OpenClaw
Real-world actions100+~30
Solana wallet + swaps
Voice clone calls
Digital twin / clone mode
Multi-agent parallel research
Agent-to-agent communication
Workflow automationLimited
Browser automation
Food ordering
Self-improving
Token-gated access ($VALEO)Subscription
HostingSelf-hostedTheir servers
SetupOpen TelegramInstall app
Data ownership100% yoursTheir cloud

OpenClaw is a chatbot with integrations. V7 is an autonomous execution agent. The gap isn't incremental — it's architectural.

Access: $VALEO Token

Agent V7 is the flagship product of the Valeo ecosystem. Access is gated by $VALEO token holdings. No subscriptions. No monthly fees. Hold the token, use the agent.

Free Tier
No tokens required
3 messages per day
Basic web search
Text-only responses
No integrations
Pro Access
Hold 150,000 $VALEO
Unlimited messages
All communication actions (email, SMS, Slack)
Calendar & scheduling
Expense tracking, habits, journal
Web search & YouTube summaries
File creation & Google Drive
Image generation
Agentic Access
Hold 500,000 $VALEO
Everything in Pro, plus:
Solana wallet & token swaps
Voice clone & phone calls
Clone mode (digital twin)
Multi-agent parallel research
Agent-to-agent communication
Workflow automation engine
Browser automation
Autonomous earning
Self-improving capabilities
Group chat agent
Plugin marketplace
Priority processing

The logic: holding $VALEO aligns incentives. Users who hold tokens have skin in the game. They're not just users — they're stakeholders. As V7 gets more powerful, demand for $VALEO increases. As $VALEO appreciates, V7 gets more development resources. Flywheel.

Flow — Token Flywheel
V7 gets
more powerful
More users
want access
More $VALEO
demand
More resources
for V7

Under the Hood

V7 runs on a TypeScript stack: Grammy (Telegram bot framework), Anthropic Claude for intelligence, Playwright for browser automation, and a SQLite database with 40+ tables tracking every aspect of user activity and agent state.

The skill system is modular. Each capability is a self-contained SKILL.md file that teaches Claude when and how to emit markers. At startup, V7 loads 60+ skill files, building a comprehensive persona that Claude uses to determine which actions to take. New skills can be added by dropping a file in the skills directory — no code changes required for the AI layer.

The marker processor in streaming.ts runs 150+ regex patterns against Claude's output stream. When a marker is detected, the corresponding executor fires: API calls, database operations, blockchain transactions, or browser sessions. All asynchronous, all with error handling, all with user notification.

Stack

Runtime: Node.js + TypeScript
Bot Framework: Grammy
AI: Anthropic Claude (Sonnet 4.5)
Database: SQLite (40+ tables)
Browser: Playwright (Chromium)
Blockchain: @solana/web3.js + Jupiter
Voice: ElevenLabs + OpenAI Whisper
Calls: Twilio
OAuth: Google (Gmail + Calendar + Drive)
Integrations: 15+ services via REST APIs

The Future of AI Isn't a Chat Window

Every major AI lab is building better conversationalists. Smarter models that explain more eloquently, reason more deeply, and generate more polished text.

We're building something different. An agent that does things. That has a wallet. That calls phones. That books flights. That earns money. That learns your patterns and acts before you ask. That talks to other agents on your behalf.

The chat window isn't the product. It's the interface to an execution engine that operates across your entire digital life.

Agent V7 is that engine.

10 apps. 1 chat. 0 installs. Hold $VALEO. Let the agent work.