SeqPU × Cloudflare — Your Private Cloud Computer
Everything Is A Sequence

Your AI'sPersonal Computer.

Give your AI its own computer. Two clicks provisions a full private cloud stack in three seconds — no Dockerfile, no wrangler init, no AWS console. The AI works there. Your laptop stays untouched.

$0.00002Per agent fire
~3 secStack provisioned
$0When idle
50,000Fires per dollar
10Free fires per month
What the buttons do

Two clicks. The whole stack.

Click Cloudflare ⚡ in the notebook. ~3 seconds later, a per-user customer Worker binds the whole stack to you:

RuntimeSandbox Compute
KV StoreWorkers KV
Object StorageR2 Bucket
SQLD1 Database
VectorsVectorize Index
InferenceWorkers AI
BrowserBrowser Rendering
EmailEmail Routing
TunnelCloudflare Tunnel
One-week build, one click

What used to be a one-week build for a senior infrastructure engineer is now one click. You never touch the Cloudflare dashboard. Never run wrangler init. Never mint an API token. The button moves from "Setting up edge instance…" to "Edge ready." That is the entire onboarding.

What your AI does with it

Schedule it. Publish it.
Chain it across compute.

Two buttons cover two outcomes. Schedule a script and it runs autonomously on a cron. Publish a script and it exposes as a callable tool. Tie them together and you have an autonomous fleet.

01
Autonomous scripting
15 MCP tools give Claude full agency over its own deployment — writing the code, storing the secrets, configuring the workflow, reading the audit trail. You describe the outcome. Claude builds the agent. No terminal opened, no code written, no deploy run.
02
Persistent agents
Hit Schedule and any script runs on multi-cron. Wake up every 30 minutes, check your GitHub, score the PRs, Slack you if anything's urgent. You're asleep. The agents work. A complete three-agent personal AI ops dept for $4.66/mo.
03
Callable surfaces
Hit Publish and any script exposes as a callable surface — HTTP URL, SeqPU UI site, Telegram/Discord/Slack bot, MCP tool for any Claude client. One script, every surface. Headless or interactive — your choice.
04
Chained orchestration
Stack compute targets in one workflow. Text a Telegram bot → bot wakes a Cloudflare CPU → CPU calls a Modal GPU → result returns through the same chain. Your data stays encrypted, contained, audited the whole way. The internet of compute, in one script.
Internet of Compute

Your AI needs a computer
like you do.

Your AI gets two engines — edge compute for the cheap always-on work, heavy compute for the horsepower. APIs sit alongside. Local rigs plug in over a Tunnel. SeqPU composes them into one internet of compute, with your data in its own encrypted plane.

01
Edge compute.
Cloudflare CPU. ~3-second cold start. $0.00002 per fire. The always-on workhorse — perfect for the agent that wakes up every 30 minutes to check your inbox, score your PRs, draft your reply. Cheap, fast, distributed across the Cloudflare edge.
02
Heavy compute.
Cloud GPU on demand — Modal T4, L4, A100, H200. Billed by the second. Spin up only when the work needs horsepower, spin down the moment it's done. APIs (Anthropic, OpenAI, Mistral) sit alongside for inference. Right tool, right job.
03
Data, sovereign.
Your storage lives in its own plane — KV, R2, D1, Vectorize, all yours, all encrypted, all on Cloudflare. The information you create belongs to you, agnostic to whatever compute reads it. Move compute, keep data. Switch providers, don't migrate.
04
Lock-in, zero.
Move from one provider to the next with a click. Get the best price without heavy lifting. No migration. No glue code. No vendor relationship to manage. The same script that runs on Cloudflare today moves to AWS tomorrow with one button click.
The Flagship Tier
$1 buys 50,000 calls.
$1 more keeps everything off your laptop.

Cloudflare is our base — the cheapest, most-distributed compute on the planet. 50,000 typical agent fires per dollar. One more dollar puts your information in its own encrypted plane, far from the LLMs running on your home computer that can grab it one way or another. That is the entire trade.

The Economics

Verified to the cent.
5 to 16× cheaper.

Typical AI-agent workload: 30 seconds wall clock, 3 seconds active CPU, 1 GiB memory. Cloudflare bills active CPU only. Every other comparable platform bills wall clock for at least one resource. AI work is 90%+ I/O-bound. The math compounds.

PlatformPer fireDaily agent / yrvs SeqPU
SeqPU on Cloudflare ⚡$0.00002$5.50
Fly.io Sprites~$0.00002~$6~tied (compute only)
Northflank$0.0002222.5×
Vercel Sandbox (Pro)$0.00046$48
AWS Lambda$0.000864$9010×
E2B (Pro)$0.000975$10211×
Modal CPU Pro$0.00147$15416×
Replit Scheduledbundled + $0.10/sched/mo$15–25+12–100×
Claude Code / Cursoruses YOUR laptopdata is the price
Pure Alignment
We're the first of a class. AI infrastructure with no hardware to amortize and no software seats to push.

Most vendors are working against you. Cloud providers need to fill data centers. Software companies need to grow seat count. Both have every incentive to maximize your spend.

SeqPU makes money one way: by reducing and optimizing your compute costs. When you spend less, we win too.

The Problem

Every AI tool right now asks for
access to your machine.

Claude Code wants your credentials file. Cursor wants your environment variables. Anthropic's Computer Use wants your screen. The pattern is universal — ship productivity by shipping the access. Better prompts do not fix this. Better-trained models do not fix this. The threat surface is the design.

Desktop AI assistants
Claude Code, Cursor, Aider, Cline, Continue, Codeium
The AI runs directly on your laptop. Sees the filesystem. Sees the secrets. Audit log is local-only.
LLM-vendor hosted
OpenAI Assistants, Anthropic Computer Use, custom GPTs
Their cloud, their data terms, their training corpus. No portability. The lock-in is the product.
Engineer-grade substrates
Modal, E2B, Vercel Sandbox, Fly Sprites, Daytona, Northflank
Real isolation. Two to three months of glue code before your first agent fires.
AI app builders
Replit Agent, Bolt, Lovable, v0
Tied to their IDE, their hosting, their billing. Expensive at scale. No MCP. No provider portability.
SeqPU is the fourth path

Your private compute, your secrets, your audit log — with no infrastructure work to set up and the AI nowhere near your real machine.

Right Tool, Right Job

Don't use a bazooka
when you need a fly swatter.

Most AI work doesn't need a 480B model. Most AI work doesn't need a GPU at all. SeqPU lets you pick the engine that fits the job — and the bill matches the choice.

Match the model to the job.
A daycare writing emails doesn't need the same firepower as a research lab. Lean pipelines for lean work. Stop burning compute on tasks that don't need it.
Edge for the always-on.
Workhorses that wake every 30 minutes don't need a GPU. They need cheap, fast, distributed compute. $0.00002 per fire. Run thousands of these for the cost of a single 70B inference call.
Heavy when the work demands it.
When you genuinely need 70B parameters or a 5-minute inference run, spin up an H200. Spin it down the second you're done. Pay $0 the rest of the time. No idle bill, no GPU sitting around.

Your private stack is
60 seconds away.

No Dockerfile. No infrastructure. No compromise.

Launch Your Cloud Computer ↓