Powered byRLM·MIT Research

Integrates with:Zapiern8nMakeAny Webhook

AI work that actually finishes.
Trigger once → get real files delivered.

Run 5–60 minute tasks in the background and get CSV/PDF/code delivered by email or webhook.

Works with Zapier, n8n, Make — or call the API directly.

Start Free (10 Tasks / Month)Watch the Demo

No credit card required. Get your first file output fast — usually in minutes.

Example tasks you can trigger:

📊 Lead scoring

Analyze 500 leads → lead_scores.csv + reasons

📄 Client report

Website audit → PDF report + action list

📝 Transcript

2-hour call → 1-page summary + next steps

Web Dashboard

Chat sessions with file output

iOS App

Tasks from your phone

Webhook API

Trigger programmatically

Zapier / n8n

No-code automation

All methods deliver real output:

CSVPDFCodeReports

Handles 10M+ tokens via RLM

Use it your way

WebDashboard
iOSApp Store
APIWebhook
ZapierNo-code
EmailReply to refine

Unlimited Context. Real Outputs. Reliable Automation.

Most AI degrades as context grows. RLM processes large inputs recursively—breaking work into chunks, verifying results, and producing deliverables.

The Problem: Context Limits

Base models hit context limits on 6–11M token tasks.

RLM completes them with 91.33% accuracy (MIT CSAIL).

The Solution: RLM

RLM treats input as an environment variable, not direct context. The AI writes code to peek, decompose, and recursively call itself on chunks.

RLM(GPT-5) on same tasks:

91.33% accuracy

From failing to solved

How RLM Works

Load as Variable

Your data becomes a variable in a Python REPL, not direct LLM input

Decompose

AI writes code to chunk, filter, and navigate your data programmatically

Recursive Calls

Sub-LLMs process chunks, verify results, and report back

Stitch Output

Results combined into real files: CSV, PDF, code, reports

10M+

tokens processed

100x beyond normal LLMs

91%

accuracy on huge tasks

vs context-limited base models

cheaper than alternatives

median cost lower than base model

RLM is based on peer-reviewed research from MIT CSAIL.

Read the Paper: Recursive Language Models

Zhang, Kraska, Khattab. "Recursive Language Models." MIT CSAIL, 2025.

Live Demo

Watch RLM in Action

See how CodeTether processes 847K tokens using recursive decomposition

RLM Execution

Task: Analyze 12,847 customer records and find top revenue drivers

Tokens: 0

Chunks: 0

Sub-calls: 0/13

Click "Run Demo" to see RLM process 847K tokens

Read the RLM PaperPowered by MIT Research

Try It Yourself - Free

The Three Steps

From trigger to delivery—it's that simple.

Trigger Once

Use dashboard, iOS app, webhook API, Zapier, n8n, or Make.

Process

The AI decomposes the job, runs recursive work, verifies outputs, and stitches results—5-60 minutes unattended.

Deliver

Get results via email (with attachments), webhook callback (JSON), or dashboard download.

Scale Complex Tasks

RLM (MIT research) processes 10M+ tokens without degradation. Handles datasets and workflows normal AI can't.

ChatGPT is a Chat.
CodeTether is a Worker.

ChatGPT is great for quick answers. CodeTether is for tasks you'd normally spend 30–60 minutes doing yourself—or pay someone else to do.

Trigger once → walk away → get deliverables.

The Copy/Paste Problem

ChatGPT gives you text. You copy it, paste it, format it… again and again.

CodeTether delivers real files ready to use.

The Babysitting Problem

Complex tasks take multiple prompts and constant steering.

CodeTether runs in the background and finishes the job.

The Timeout Problem

Zapier "AI steps" fail when tasks take longer than 30 seconds.

CodeTether runs for up to 60 minutes with checkpointed progress.

The Context Limit Problem

Normal LLMs break down on big datasets and long context.

CodeTether uses RLM (MIT research) to process 10M+ tokens without degradation.

Capability	ChatGPT	CodeTether
Task Duration	Seconds (single response)	Up to 60 min (background)
Output Format	Text in chat window	Real files (CSV, PDF, code)
Automation	Manual copy/paste	Webhook trigger + callback
Batch Processing	One request at a time	100+ concurrent tasks
Context Handling	Degrades on long inputs	RLM - unlimited context

Try CodeTether Free

Ralph + RLM Integration

Build Features from a PRD — Automatically

Ralph runs autonomous dev loops: PRD → implement → test → commit → repeat. When context grows too large, RLM compresses it so the loop keeps going.

📄 prd.json

Project

TaskApp

Branch

ralph/task-status

User Stories

○US-001: Add status field to database

○US-002: Display status badge on cards

○US-003: Add status toggle to list

○US-004: Filter tasks by status

RLM Status

Compressions:0

Ralph + RLM Loop

Iterations: 0

Passed: 0/4

Commits: 0

RLM: standby

Click "Start Ralph" to watch autonomous development

Watch how RLM compresses context when it gets too large

Based on Geoffrey Huntley's Ralph pattern

🔄

Autonomous Loop

Ralph implements each story, runs tests, commits code, and moves to the next without stopping.

🗜️

RLM Compression

When memory exceeds threshold, RLM compresses progress while preserving key learnings and file paths.

⚡

Ship Faster, Smarter

Turns PRD into production code without context degradation. This is how you ship without losing quality.

How Ralph + RLM Work Together

📋 PRD Story→💻 Ralph Codes→✓ Tests Pass→📦 Git Commit→📝 Update Memory→🗜️ RLM Compress*→🔁 Next Story

*RLM compression triggers automatically when context exceeds threshold (default: 80K tokens)

Try Ralph + RLM on Your Codebase

Create a PRD → Convert to prd.json → Let Ralph + RLM build it

Zapier Moves Data.
CodeTether Does the Work.

No 30-second timeouts. No context limits. Real deliverables.

Your Need	Zapier AI	CodeTether
Process 500 leads with AI analysis	Rate limits, timeouts, expensive	Webhook in, all 500 processed, callback when done
AI step that runs 20+ minutes	30-second timeout. Task fails.	Up to 60 min with recursive decomposition.
Handle large datasets or context	Limited context window.	10M+ tokens with RLM processing.
Get real files, not just text	Text only. Copy/paste needed.	CSV, PDF, code files delivered.
Refine the output after seeing it	Run the whole Zap again.	Reply to email to continue.

Why It Works: Recursive Language Model

Recursive Processing

Tasks are decomposed, processed in parallel, verified, and stitched back together. No 30-second wall.

Input as Environment

Your data becomes the context. The model navigates and processes it like a workspace, not a fixed prompt.

Cost Efficient

Median RLM run costs less than a single base model call. Smarter routing, not brute force.

Trigger a Task

POST /v1/tasks
{
  "prompt": "Analyze leads.csv",
  "email_results": true,
  "callback_url": "your-webhook"
}

Get Results

Email arrives:

Your task is complete.

Analyzed 847 leads. Found 142 high-value.

lead_scores.csv attached

Reply to refine the analysis

Try Free (10 tasks/month)

VAs Cost $1,800/mo.
CodeTether Costs $297.

For repeatable tasks, AI workers are faster, cheaper, and more consistent.

Aspect	Virtual Assistant	CodeTether
Cost (300 tasks/mo)	$1,500-2,500/month	$297/month
Availability	8 hours/day	24/7
Speed	2-4 hours	5-30 minutes
Scalability	1 task at a time	10+ concurrent
Consistency	Varies	Same every time
Data processing	Limited by human memory	10M+ tokens with RLM

Keep Using VAs For

• Tasks requiring human judgment
• Phone calls and live communication
• Nuanced customer interactions

Use CodeTether For

• Large-scale data processing (RLM handles 10M+ tokens)
• Content generation at scale
• Report generation with thorough recursive analysis
• Research and information gathering

RLM technology ensures consistent quality—no context rot, same thorough analysis every time.

Webhook trigger|RLM processing|10M+ token context|Email delivery|Real file output

Background Tasks for Every Workflow

Trigger from dashboard, API, or automation platform. Kick back. Get real deliverables in your inbox.

🎓

Course Creators

Stop spending hours on landing pages. Tell the agent "build me a sales page for my new course" and get production-ready HTML in minutes. It reads your existing content, matches your brand, and writes converting copy.

New course idea → Agent builds funnel → You review & launch

Landing pages
Sales copy
Email sequences

🏢

Agency Owners

Your clients need reports, audits, and content. RLM agents analyze entire websites, generate SEO reports, and write blog posts—all triggered from your project management tool via webhook.

Client request → n8n triggers agent → Deliverable ready

Client reports
SEO audits
Content at scale

🛒

E-commerce Sellers

Product descriptions that convert. Feed the agent your inventory spreadsheet and get optimized listings for Amazon, Shopify, and Etsy. Bulk processing hundreds of SKUs overnight.

CSV upload → Agent writes listings → Export to platforms

Product descriptions
Listing optimization
Bulk processing

💻

SaaS Founders

Your codebase is growing. RLM agents can analyze your entire repo, find bugs, write tests, and generate documentation. Finally, an AI that understands context beyond a single file.

Push to GitHub → Agent reviews → Issues created

Code review
Test generation
Documentation

✍️

Content Marketers

Research, outline, write, optimize. Agents that read your competitors' content, analyze what ranks, and produce SEO-optimized articles. Triggered from your editorial calendar.

Calendar event → Agent researches & writes → Ready for review

Blog posts
Research reports
Social content

🎯

Consultants & Coaches

Client intake forms trigger personalized analysis. The agent reads their questionnaire, analyzes their situation, and drafts a custom proposal—before your first call.

Form submission → Agent analyzes → Proposal in inbox

Proposal generation
Client analysis
Custom reports

Simple Pricing. Real Results.

Start free. Upgrade when you're hooked. Cancel anytime.

Free

Try before you buy. Perfect for testing workflows.

Best for: Testing & experimentation

tasks/mo

concurrent

10 min

runtime

10 tasks / month
1 concurrent task
10 min max runtime
Email delivery
Webhook trigger
Community Discord

Start Free

ProMost Popular

$297/mo

For automation builders replacing Zapier + VAs.

Best for: Solopreneurs & automation builders

300

tasks/mo

concurrent

30 min

runtime

300 tasks / month
3 concurrent tasks
30 min max runtime
Email + webhook callback
RLM unlimited context
Priority email support
Session history
Reply-to-continue

Agency

$497/mo

For teams running client automations at scale.

Best for: Agencies & teams

2,000

tasks/mo

concurrent

60 min

runtime

2,000 tasks / month
10 concurrent tasks
60 min max runtime
Everything in Pro
Team workspaces
Onboarding call
Dedicated support
Custom workflow setup

How It Works

1. Trigger

Webhook or Dashboard

Send a POST request or start from the web interface

2. Process

AI Agent Works

RLM processes your task with unlimited context

3. Deliver

Email or Callback

Get files in your inbox or webhook callback

14-day money-back guarantee. No questions asked.

Ready to Stop Babysitting AI?
Trigger a task. Go do other things.

Get real files delivered when it's done.

Start Free - 10 Tasks/Month View Pricing

No credit card requiredWorks with Zapier, n8n, MakeCancel anytime

Frequently Asked Questions

- How is this different from ChatGPT?
  ChatGPT is a chat interface. CodeTether is a task runner. You trigger a webhook, AI works in the background, and you get real files via email or callback.
- What is RLM?
  RLM (Recursive Language Models) is MIT research that treats your input as an environment variable, not direct LLM context. Instead of stuffing everything into one prompt, RLM recursively decomposes tasks, processes chunks independently, verifies results, and stitches them together.
- Can I trigger tasks from Zapier/n8n/Make?
  Yes. CodeTether provides webhook endpoints that work with any automation platform. Results come back via webhook callback or email.
- Why can CodeTether handle longer tasks than ChatGPT?
  Base models hit context limits on 6–11M token tasks. RLM processes them recursively and completes them with 91.33% accuracy (MIT CSAIL).
- How do I get the output?
  Three ways: (1) Email with file attachments, (2) Webhook callback with JSON, (3) Dashboard download. Reply to emails to refine results.
- What if a task fails?
  You get notified with error details. Tasks checkpoint progress so partial work isn't lost. Pro plan includes priority support.
- Is there a limit to how much data I can process?
  CodeTether handles 10M+ tokens—100x more than typical LLMs. RLM architecture recursively breaks down massive inputs, processes them in chunks, and reconstructs verified results. Cost stays comparable to base model pricing.
- Can I self-host?
  Yes. CodeTether is open source (Apache 2.0). Run it on your own servers with full control. Docker images and Helm charts provided.
- What support is included?
  Free: Community Discord. Pro: Priority email (24hr response). Agency: Onboarding call and dedicated support.

Ready to scale your AI agents?

Talk to our team about your use case. We'll help you get started.

AI work that actually finishes.Trigger once → get real files delivered.

Unlimited Context. Real Outputs. Reliable Automation.

The Problem: Context Limits

The Solution: RLM

How RLM Works

Load as Variable

Decompose

Recursive Calls

Stitch Output

Watch RLM in Action

The Three Steps

Trigger Once

Process

Deliver

Scale Complex Tasks

ChatGPT is a Chat.CodeTether is a Worker.

The Copy/Paste Problem

The Babysitting Problem

The Timeout Problem

The Context Limit Problem

Build Features from a PRD — Automatically

📄 prd.json

Autonomous Loop

RLM Compression

Ship Faster, Smarter

How Ralph + RLM Work Together

Zapier Moves Data.CodeTether Does the Work.

Why It Works: Recursive Language Model

Trigger a Task

Get Results

VAs Cost $1,800/mo.CodeTether Costs $297.

Keep Using VAs For

Use CodeTether For

Background Tasks for Every Workflow

Course Creators

Agency Owners

E-commerce Sellers

SaaS Founders

Content Marketers

Consultants & Coaches

Simple Pricing. Real Results.

Free

ProMost Popular

Agency

How It Works

Ready to Stop Babysitting AI?Trigger a task. Go do other things.

Frequently Asked Questions

How is this different from ChatGPT?

What is RLM?

Can I trigger tasks from Zapier/n8n/Make?

Why can CodeTether handle longer tasks than ChatGPT?

How do I get the output?

What if a task fails?

Is there a limit to how much data I can process?

Can I self-host?

What support is included?

Ready to scale your AI agents?

Unlimited Context. Real Outputs. Reliable Automation.

The Problem: Context Limits

The Solution: RLM

How RLM Works

Load as Variable

Decompose

Recursive Calls

Stitch Output

Watch RLM in Action

The Three Steps

Trigger Once

Process

Deliver

Scale Complex Tasks

ChatGPT is a Chat.CodeTether is a Worker.

The Copy/Paste Problem

The Babysitting Problem

The Timeout Problem

The Context Limit Problem

Build Features from a PRD — Automatically

📄 prd.json

Autonomous Loop

RLM Compression

AI work that actually finishes.
Trigger once → get real files delivered.

ChatGPT is a Chat.
CodeTether is a Worker.

Zapier Moves Data.
CodeTether Does the Work.

VAs Cost $1,800/mo.
CodeTether Costs $297.

Ready to Stop Babysitting AI?
Trigger a task. Go do other things.

ChatGPT is a Chat.
CodeTether is a Worker.

Zapier Moves Data.
CodeTether Does the Work.

VAs Cost $1,800/mo.
CodeTether Costs $297.

Ready to Stop Babysitting AI?
Trigger a task. Go do other things.