Self-healing automation
Build it once with AI. Run it forever without it.
Describe an automation once. An AI agent builds it as real, deterministic code that runs thousands of times — fast, predictable, with no model re-reasoning your workflow. The LLM is called only where a step genuinely needs intelligence — often not at all. When something breaks, the agent heals the code so that failure never recurs.
1×
Reason once — at build time
0
LLM calls on a healthy run
100%
Deterministic execution
→ 0
Heals needed as a cell matures
The shift
AI is great at writing code.So why use it to run your automations?
Codex, Claude Code, and Cursor settled it: AI writes code brilliantly. Yet today's automation tools still keep a reasoning model in the loop on every run — re-deciding everything on run #1 and run #1,000 alike. You pay the reasoning tax each time, behavior drifts, and failures hide.
CodeCell flips it. The agent compiles your workflow into deterministic code once, sealed in its own cell — then gets out of the way. It runs thousands of times, fast and identical, calling an LLM only for a narrow inference like extract or classify, never to re-reason the whole thing.
When something breaks, the agent fixes the code behind a regression gate so the failure never recurs — which is why a cell only gets cheaper and more reliable the more it runs.
Codex, Claude Code, and Cursor proved AI can write the code. CodeCell is what happens when you let it.
Why CodeCell
Reliable by construction
Intelligence at build time, determinism at run time. Everything follows from that one inversion.
Reliability
Same input, same output — every time. Failures are loud, never confidently wrong.
Determinism
The LLM reasons once at build time. At runtime it is plain, inspectable code — not a model improvising.
Full auditability
Every run records a per-step trace: inputs, outputs, and exactly when — and why — the LLM was used.
Self-healing
When something breaks, the agent patches the code behind a regression gate and ships a new version.
Build by chatting
Describe the automation; watch it compile into clean code on the right. No nodes to wire.
Run from anywhere
Trigger any CodeCell with a single authenticated API call. The pluggable layer is first-class.
Build → Run → Heal
How It Works
Describe it once. It runs forever, deterministically. It heals itself when reality shifts.
Describe it
Tell CodeCell what you want in plain language. No flowcharts, no glue code.
The agent compiles it
It writes your automation as sealed, deterministic code — with an LLM call only where one is truly needed.
It runs — LLM-free
The code runs thousands of times, fast and predictable, with a full per-step trace. No re-reasoning, no surprise bills.
It fails loudly
If reality shifts, the cell errors out loud instead of going confidently, silently wrong.
It heals itself
The agent repairs the code as a gated new version that must pass every past case. That failure never recurs.
Pricing
Simple, Transparent Pricing
No hidden fees. Pick the plan that fits your project and budget.
Open Source
$0
The CodeCell unit format + runtime. Run it yourself.
- Self-hosted runtime
- Build, run & version cells
- Full per-step run traces
- Public run API + cURL
- Community support
Cloud
Usage-based
Hosted compute, the healing pipeline, and your team.
- Managed sandboxed runtime
- Self-healing pipeline + canary
- Per-cell regression corpus
- Live dashboard + activity
- Projects, roles & API keys
- Email notifications
Enterprise
Custom
Run CodeCells on your own infrastructure, at scale.
- Everything in Cloud
- Run on your infrastructure
- SSO + audit logging
- Private connectors
- SLA & dedicated support
- Security review
FAQ
Frequently Asked Questions
Everything you need to know before we get started.
A sealed, self-healing unit that bundles an AI agent, the deterministic code it wrote, and an isolated runtime. You describe an automation once; it runs forever as real, inspectable code.
Those keep a reasoning LLM inside every run — non-deterministic, linearly costly, and silent when they fail. CodeCell moves the intelligence to build time: the agent writes static code once, and that code runs deterministically — calling an LLM only where a step genuinely needs intelligence, never to re-reason the workflow. The agent returns only to heal.
It fails loudly — never silently wrong. The agent diagnoses it and proposes a fix that must pass the original failure plus every known-good case before shipping as a new version. You approve it with one click.
Only for inference, and only where intelligence is genuinely needed — a narrow, fixed step like extracting or classifying (an “inference node” with a fixed prompt and fixed output). The LLM never re-reasons the whole workflow; everything else is deterministic code, so a healthy run makes a flat, predictable number of calls — often zero.
No. Your inputs and known-good outputs form each CodeCell’s private regression corpus, used only to keep its own healing safe. It is yours.
Yes — like an organism. A CodeCell is born when it compiles and matures with every run and heal it survives. The older a cell, the wiser: a richer corpus, fewer heals needed, more trustworthy.
Stop babysitting your automations
Build it once. Run it forever.
Describe your first automation and watch it compile into deterministic, self-healing code.