The AI model that
doesn’t say No.

One model, agents inside. Code, research, operations and your own devices, in a single call.

See pricing
User
Sentinel
Other assistants

Checking whether I can do this…

Refused

01 · The model

Built to finish the job, not the chat.

Give it the task, not the steps. Its agents plan, run tools on your machines, recover from failures on their own and come back with the result instead of a to-do list.

getsentinel.ai/app
Session

User

Last night’s staging deploy failed. Find out why and fix it.

Sentinel

The migration hit a lock held by the nightly backup. Fixed by ordering the jobs:

$ pm2 logs api --lines 80 | grep lock
  ALTER TABLE orders … lock wait timeout
$ deploy/staging.sh --after backup   ok 3m12s
getsentinel.ai/research

Research query

Synthesize the current literature on lithium-ion battery recycling routes and cost per tonne. Flag where the figures disagree.
Your files + the web12 sourcescitations kept
Run research →
Findings12 / 12 read
  • Hydrometallurgical recovery is cheapest above 5,000 t/yr (n=7 studies)
  • Pyrometallurgy and direct recycling disagree on lithium yield (tabled)
  • Cost per tonne: four estimates, two methods, one outlier

battery-brief.md · sources.bib · saved to your knowledge base

02 · The research

Research anything.

Run research across your own files and the web, with every source kept, inside a session that remembers what it learned.

03 · The output

Get the outputs you need.

Datasets, code, analyses, reports. Sentinel produces the actual deliverable, schema-checked and saved where your pipeline expects it.

getsentinel.ai/generate

Describe the output

Turn the 340 support tickets in the inbox export into a clean dataset: category, sentiment, time to resolution.
CSV + Parquet340 rowsschema checked
Generate →

support-tickets-clean.parquet

340 rows · 112 KB · ready

Parquet + CSV
{"id":"T-0291","category":"billing","sentiment":-0.4}
{"id":"T-0292","category":"login","sentiment":-0.7}
{"id":"T-0293","category":"shipping","sentiment":0.2}
+ 337 more rows
↓ Download↗ Open in Sentinel

Pricing

Plans for how much you use.

Pick a plan and start now. Higher usage limits and priority access on every step up.

Free

Try Sentinel, no card needed.

Free

What you get:

  • 25 tasks with the Sentinel model
  • One long task that runs after you close the laptop
Popular

Pro

Research, code, and organize.

$20/ month

Everything in Free, and:

  • Unlimited turns and coding for everyday use
  • Sentinel on web, Mac app and phone
  • Model tools: browser, files, shell
  • 10 Signal scans a month
  • Long tasks and scheduled jobs

Max

Higher limits, priority access.

$50/ month
Usage

Everything in Pro, plus:

  • 2.5× more usage than Pro
  • Unlimited Signal scans
  • Parallel agents per call, highest weekly cap
  • Early access to new features
  • Higher output limits for all tasks
  • Priority access at high-traffic times

Sentinel does what other assistants reject.

Sentinel completes around 100% of the jobs Claude and ChatGPT stop at.

Sentinel100% done
Claude17% done
ChatGPT17% done

The six jobs: read local files, fix a repo and run its tests, deploy to a server, research with sources kept, control a device, run overnight. Chat apps as consumers get them, with no agent installed. Sentinel's ten-turn run finished every turn with first output in 1.3 s (tests/test_smoothness.py, 12 Oct 2026).

Your work stays yours

We keep this much of your work:

0Bytes
of your work
we keep
Sessions
Never stored
Files and outputs
Never uploaded
Model keys
Never seen
Training signal
Never used

Sentinel runs on your own Mac or in a container that belongs only to you. Sessions, memory and keys live there, not with us, and nothing you do is used to train anything. Delete it all with one command.

Your machine or your containerDelete any timeNo training on your work

Try the model that
doesn’t say No.

Finishes the work other assistants hand back. Private by default.

Private beta

Join the waitlist.

Seats open in order. We write once, when yours is ready.