Telethryve

Introducing Telethryve

Control your local AI workstation from your phone.

A $9.99/month mobile control layer for local compute, native local LLMs, Codex, Claude Code, and real workstation apps.

Start from the phone Compute on the machine Keep human control
Watch the phone-to-computer workflow in action.

The Problem

The idea is on your phone; the work is on your computer.

Modern work still depends on the workstation.

That is where the files live.

That is where the tools run.

That is where the browser sessions, documents, code, credentials, and context are already open.

But ideas do not wait for you to be sitting there.

They happen while you are walking, commuting, traveling, talking, thinking, or standing between one obligation and the next.

So the idea gets captured in the only places available: a note, a text, a reminder, or your memory.

It does not become work yet.

It waits until you return to the desk, reopen the environment, find the context, and rebuild the momentum.

By then, the first energy is already fading.

Telethryve exists to close that gap: the gap between having the thought and being able to put the computer to work.

The Shift

Telethryve closes the gap.

Send the request from your phone. Telethryve keeps one conversation as the unified control loop while the host computer carries the local compute and routes work across a native local LLM, Codex, Claude Code, or high-trust app control when enabled. Progress and results return to the same conversation.

  • No switching between multiple apps to control multiple software or coding agents on one machine.
  • No cold restart when the task changes
  • No remote desktop babysitting on a tiny screen
  • No cloud-only requirement when a native local model is the better fit
App-based control for Telethryve
Codex and Claude Code connected to Telethryve
Real computer access for deeper work

Value Against Free

Models and local AI hardware are the baseline. Telethryve is the control layer.

The question is not whether an AI model is useful. It is whether your work loop stays coherent when the job needs your repo, files, browser sessions, approvals, and finished artifacts.

Free baseline

Ask the model

Chat and single-surface agents can answer, draft, and suggest. You still have to move the work into the real environment to finish it.

$9.99/mo

Command the workstation

Telethryve turns one conversation into a unified UI that routes work to your computer: a native local LLM, Codex, Claude Code, and optional app control—then returns the artifact back to you.

Proof

Save one desk session

One mobile-started bug pass, reusable workflow, content asset, or returned artifact can make the monthly price easy to justify.

Keep the AI brain you already use. Pay for the unified phone-to-workstation layer around it.

Local AI Is Becoming Hardware

The next AI wave puts compute on the desk. Telethryve puts control in your hand.

Microsoft and NVIDIA are now pushing Windows PCs and developer boxes built for local agents, local model inference, and more secure agent runtimes. That validates Telethryve's core bet: serious work should run on the machine with the files, tools, apps, models, and policy boundaries. The phone should be the simple way to start and steer it.

01

Local compute

Run more reasoning, drafting, retrieval, and long-running work near the files, tools, documents, and project context that make the output useful.

02

Phone control

Start a local or hybrid workstation run away from the desk without operating a tiny remote desktop or copying context between apps.

03

Human guardrails

Keep status, questions, approvals, stop/resume, and artifact return in the same mobile conversation that started the job.

How It Works

One conversation starts, steers, and receives work.

Your phone does not need to become the workstation. It only needs to send the instruction.

Telethryve keeps the heavier work connected to the machine that already has your files, tools, browser sessions, codebase, and working environment. The intelligence layer stays behind the work, so the first thing customers understand is the outcome: message the task, let the machine work, and get the result back.

  • Phone: the command surface
  • One conversation: the unified UI for status, questions, approvals, and results
  • Host computer: the work engine
  • Native local LLM: private reasoning when configured
  • Codex + Claude Code: agentic coding and workflows when configured
  • App control: opt-in desktop/app actions when needed
Telethryve showing a phone request routed to a host computer

What It Can Do

Content, software, creative production, project support.

Telethryve keeps useful work moving after the idea is captured, whether the job is a draft, code change, creative package, or project follow-through.

01

Content creation

Draft emails, summaries, posts, scripts, captions, and supporting copy from one plain-language request.

02

Software creation

Turn a quick idea, bug report, or review note into planning, edits, checks, documentation, and follow-through.

03

Creative production

Shape concepts, references, revisions, prompts, packaging, and pitch material before you return to the workstation.

04

Project support

Inspect logs, summarize environments, organize chores, and keep routine support work moving in the background.

Project continuity in Telethryve

Continuity

Pick up where you left off.

Real work does not happen in one perfect session. You add thoughts later, change direction, continue from a previous thread, or ask for the next pass.

Telethryve keeps the project and conversation connected, so the follow-up request does not have to start over.

Parallel progress with multiple Telethryve jobs

Parallel Progress

Start another job before the first one finishes.

One task can be running. Another can be started. A third can ask for input.

Telethryve keeps those streams conversational instead of turning them into a control-panel maze.

Self-Transforming Machine

Build new tools with the system.

Telethryve points toward software that can build tools, create workflows, and extend its own usefulness around the task in front of it.

Telethryve self-transforming machine building new tools and workflows

When a task requires a capability the system does not already have, Telethryve can help design, test, and run a purpose-built tool on the user's own machine.

That means Telethryve is not static software. It is a mobile command layer for work that can expand around the job.

A tool can emerge from the task itself.

A utility can be built. A workflow can be tested. A local process can be created. A new capability can become part of the work instead of waiting for a product roadmap.

First, Telethryve starts work from anywhere. Then it keeps that work connected. Then the system can help the machine reason, build, test, and act closer to the user's own files and tools.

See how tool-building fits the guide

Local and Air-Gapped Mode

Online, local, or fully offline.

Most AI tools ask the user to move sensitive context to a remote model. Telethryve changes the pattern by letting the intelligence layer run on the same machine as the files, tools, code, and workspace.

Telethryve hybrid AI workstation with mobile command, local execution, local intelligence, and web reach
01

Phone as command center

Send the request from the mobile app while the computer remains the place where deeper work is performed.

02

Computer as execution environment

The host machine can inspect files, run tools, work in projects, and keep the real operating context close.

03

Local model as private intelligence

A locally running model can reason through tasks without making cloud processing the only path.

Three modes of operation

Work offline. Work online. Search the web and process locally.

Local LLM support gives Telethryve more than one operating shape. The user can choose the path that fits the job, the network, and the privacy level. When isolation itself is the requirement, air-gapped mode goes further.

Telethryve three local LLM modes: offline, hybrid, and web plus local
Offline

Work without cloud access

Continue assisting with local files, codebases, notes, documents, and tools when internet access or cloud model access is limited.

Hybrid

Stay online while reasoning locally

Use connected tools, accounts, and workflows while keeping key analysis and decision-making on the machine.

Web + Local

Search outside, analyze inside

Retrieve information from the web, then summarize, compare, and transform it through the local model.

Air-gapped offline mode

Completely offline. Completely local. Completely yours.

Telethryve can operate as a fully isolated AI workstation. No internet access, no cloud model access, no remote API, and no outside connection required.

Telethryve air-gapped offline mode with local LLM, memory, RAG, and local task execution

Isolation is the feature.

When the machine is fully air-gapped, the phone app cannot reach Telethryve because the workstation is intentionally disconnected. The local workstation remains operational through local LLM reasoning, Codex-style workflows, local memory, RAG, and local tools.

No internet

Network access is removed

The system can keep working without live web search, online sync, remote authentication, or external APIs.

No remote model

Reasoning stays local

Prompts, files, documents, code, and project context do not need to leave the machine for model processing.

No outside connection

The workstation stands alone

Local intelligence, local memory, retrieval, and execution live inside the isolated environment.

A true air-gapped AI workstation with reasoning, memory, retrieval, files, and execution layers

A true offline workstation

The intelligence, memory, files, and execution environment live on the machine.

Most AI systems are cloud-connected by design. Air-gapped Telethryve creates a self-contained work environment where the local LLM provides reasoning, local memory provides stored knowledge, RAG provides retrieval, and the computer provides the operating environment.

  • Local LLM reasoning
  • Local memory and retrieval
  • Local files, projects, and codebases
  • Local tool execution and Codex-style development help

Local memory and RAG

Search local knowledge. Retrieve context. Reason privately.

Air-gapped Telethryve can use retrieval-augmented generation without the cloud, so the model is not limited to what it already knows. It can work from local documents, notes, manuals, codebases, procedures, and private reference material.

Telethryve local memory and RAG pipeline feeding private context to a local LLM
Retrieve

Find private context

Search local knowledge, project files, manuals, notes, and internal materials without sending them to a remote service.

Reason

Use the context locally

The local model can summarize, compare, explain, rewrite, plan, or support development using retrieved material.

Act

Turn retrieval into work

Codex-style workflows can use local context to support drafting, analysis, file review, coding, and task execution.

What works offline

A complete AI work environment on your own machine.

Air-gapped mode trades network reach for privacy, control, independence, and resilience.

Telethryve showing offline capabilities including local LLM reasoning, memory, RAG, documents, workflows, and tool execution
Available

Local work stays active

Local LLM reasoning, memory, RAG search, documents, project files, codebases, workflows, tool execution, drafting, summarization, planning, and analysis can keep running.

Unavailable

Outside services are intentionally off

Phone control, cloud models, live web search, remote APIs, online authentication, and sync are unavailable while the machine is fully isolated.

Different by design

Cloud AI depends on a network. Air-gapped Telethryve does not.

This matters for private code, confidential documents, regulated environments, field work, secure facilities, low-connectivity locations, travel, and disaster recovery.

Telethryve comparison showing cloud AI as network dependent and air-gapped Telethryve as network independent
Telethryve showing isolation as the feature for privacy, control, independence, and resilience
Cloud AI

Powerful, but network-dependent

Cloud systems can be affected by outages, account access, usage limits, policy restrictions, or connectivity.

Local chat

Private, but often narrow

Basic local LLM apps usually provide a chat window, not a full offline work environment.

Offline software

Stable, but static

Traditional offline tools run without internet, but they only do what was already built into them.

Telethryve

Private AI work

Local reasoning, memory, retrieval, file context, and task execution can work together inside the isolated machine.

Web search with local analysis

The web becomes the source. The local LLM becomes the analyst.

When the workstation is connected, Telethryve can collect outside information, bring it back to the machine, and let a local model summarize, compare, extract, rewrite, or turn it into an action plan.

Telethryve detecting context needs, gathering outside AI and web context, enriching local memory, and improving the active task

Different from normal AI chat

This is not just another AI chat app.

Most AI tools are built around answers. Telethryve is built around finished work: mobile instruction connected to a real computer environment where the work can actually happen.

Telethryve showing the difference between normal chatbot conversation and real workflow execution
Chat apps

Answers only

The user still has to open files, run tools, and execute the work elsewhere.

IDE agents

Scoped to one tool

Powerful inside the IDE, but your workflow still spans browser, files, terminals, documents, and apps.

Remote desktop

You still drive

Remote desktop moves the screen, not the work. You still babysit clicks, context, and follow-through.

Telethryve

Unified control plane

One conversation routes models and workflows on the machine and returns artifacts. App control is opt-in when the job needs it.

Who It Helps

Students, creators, professionals, software teams, operators.

The interface stays familiar. The type of background work changes with the customer.

Students

"Turn these notes into a study guide and quiz me later."

Research help, summaries, flash cards, structured notes.

Creators

"Package this idea into three pitch versions."

Concepts, references, copy, revisions, production support.

Professionals

"Draft the follow-up, prep the brief, and have the draft waiting."

Emails, summaries, planning work, checklists, deliverables.

Software teams

"Review this bug report and start the fix."

Specs, tickets, QA asks, code changes, coordination work.

Operators

"Check the queue, summarize what changed, and send the next step."

Monitoring, reporting, follow-ups, handoffs, routine support.

Trust and Control

Powerful when asked, visible by design.

Powerful background work only matters if the person giving the instruction can trust it. Telethryve keeps status, approvals, and results close to the conversation.

Telethryve security and control
Safe

Normal language covers the common path

Ask naturally, check progress, answer questions, and receive results without learning a separate control panel.

Precise

Explicit controls are there when needed

Use stronger direction, approvals, and routing when the job needs more care than a casual request.

Visible

Higher-autonomy work stays intentional

Status, questions, approvals, and outputs stay visible while the work runs on the machine.

Advanced Backend Routing

The model choice stays behind the work.

Telethryve is not a multi-model chat room. The product is mobile command connected to a real workstation. When a task benefits from another intelligence path, the backend can route work to a native local LLM, hosted APIs when configured, web context, or agentic execution through Codex and Claude Code when configured.

Telethryve routing one mobile chat across cloud AI, local models, web search, and agentic work
Local LLM

Reason close to the files

Use a local model when privacy, offline readiness, or local project context should stay centered on the host machine.

Hosted APIs

Bring in stronger remote models

Route work through configured OpenAI API or other hosted model setups when the task benefits from cloud model reach.

Web Context

Search outside, work inside

Gather fresh information from the web, then bring it back into the workstation for analysis, writing, planning, or execution.

Codex + Claude Code

Turn answers into work

Keep agentic coding, file review, tool execution, and project changes connected to the same chat that started the task.

Telethryve routing a request from one mobile chat across hosted models and web search
Telethryve enriching task context through local LLM, web search, RAG memory, and agentic execution

Customer Promise

Ask from anywhere. Keep moving.

Telethryve sells a simpler life: less waiting for the right moment to sit down, less context lost between intention and execution, and more real work completed while life keeps moving.

Telethryve hybrid AI workflow connecting mobile input, cloud AI, local AI, web search, and workstation execution

Telethryve FAQ

Answers for launch-day searches.

A quick reference for people comparing mobile AI control, local LLM workstations, air-gapped AI, and agentic workflows that act on a real computer.

Overview

What is Telethryve?

Telethryve is a $9.99/month unified UI for real computer work. Send the request from your phone while your workstation routes it across local models, agent workflows like Codex and Claude Code when configured, and optional app control, then returns the finished output.

Workstation

Does Telethryve run work on my own computer?

Yes. Telethryve is designed around the host computer as the work engine, so the machine that already has your files, code, browser sessions, and tools can do the deeper work.

Local AI

Can Telethryve use local LLMs and offline workflows?

Telethryve supports local LLM, hybrid, and air-gapped modes so work can stay close to the machine when privacy, offline access, or local context matters.

Use cases

What kind of work can Telethryve start from a phone?

Telethryve can help start content, software, creative production, project support, research, document, and workflow tasks from a simple mobile message.

Agents

How is Telethryve different from a chatbot?

A chatbot mostly answers inside the chat window. Telethryve connects the conversation to a workstation that can run tools, inspect project context, use agents, and return completed work.

Launch

How do I start using Telethryve?

Start with the download page, install the host computer release, pair the mobile app with a QR code, and use the how-to-use guide for first-run commands and profiles.

Launch Search Paths

Specific pages for the searches people already make.

Telethryve now has focused launch destinations for mobile AI workstations, local LLM workflows, air-gapped AI, Codex from a phone, remote workstation work, founder workflows, and agentic workstation work.

Mobile

Mobile AI workstation

Start serious computer work from a phone while the workstation keeps the files, tools, and results.

Read the page
Local AI

Local LLM workstation

Run AI work on the machine with private files, code, documents, local compute, and local context.

Read the page
Offline

Air-gapped AI

Keep reasoning, memory, retrieval, files, and tool execution centered on the machine.

Read the page
Codex

Codex from phone

Dispatch Codex-style project work to the workstation where the repository already lives.

Read the page
Agents

AI agent workstation

Connect agentic workflows to files, browsers, tools, code, memory, and project context.

Read the page
Remote

Remote AI workstation

Start remote workstation work without shrinking the computer into a phone screen.

Read the page
Mobile Chat

ChatGPT from phone

Move phone AI requests into real computer work on the machine that has the context.

Read the page
iPhone

Codex on iPhone

Start agentic coding from the phone while the workstation handles the repository.

Read the page
Founders

AI workstation for founders

Turn launch, product, support, research, and content ideas into real workstation tasks.

Read the page
Mac mini

Mac mini AI server

Use a compact always-on machine as a phone-commanded local AI workstation.

Read the page
Workflow

OpenAI Codex mobile workflow

Give mobile coding ideas a path into a real project environment.

Read the page

CTA

Download Telethryve, review pricing, start setup.

Telethryve is the $9.99/month unified UI for turning phone requests into real workstation work. Start with the download page, then review pricing and first-run materials.

Download Telethryve View pricing First-run guide
Telethryve product story montage