Nuttifox builds AI automations that add a language model only where a rule genuinely can't do the job — classifying ambiguous input, drafting a first pass, or reading unstructured context. Everything else stays rule-based, so it's cheap to run and easy to debug. We default to n8n as the runner and Claude for the judgment step, and every AI step ships with a confidence threshold and a human review fallback. Most automations ship in two to four weeks — roughly $4,000 to $8,000 at our $2,000 a week rate.
Summarize with AI
/01
Where it fits
Use cases
Inbox & ticket triage
Classify, route, and draft responses to support or sales inquiries automatically.
Content operations
Summarize, tag, or repurpose content across your CMS and marketing tools.
Lead qualification
Score and route leads using both CRM data and unstructured context an AI step can read.
Data cleanup at scale
Normalize and enrich messy data that plain rules can't reliably parse.
Inbox & ticket triage
Classify, route, and draft responses to support or sales inquiries automatically.
Content operations
Summarize, tag, or repurpose content across your CMS and marketing tools.
Lead qualification
Score and route leads using both CRM data and unstructured context an AI step can read.
Data cleanup at scale
Normalize and enrich messy data that plain rules can't reliably parse.
Inbox & ticket triage
Classify, route, and draft responses to support or sales inquiries automatically.
Content operations
Summarize, tag, or repurpose content across your CMS and marketing tools.
Lead qualification
Score and route leads using both CRM data and unstructured context an AI step can read.
Data cleanup at scale
Normalize and enrich messy data that plain rules can't reliably parse.
/02
How we work
Process
01
Map the decision points
Find exactly where judgment is needed versus where a rule is enough.
/03
What you get
Deliverables
The automation running live in your own stack
n8n workflows in your account, not ours
Every prompt and guardrail written down, not buried in a node
A run log showing what the AI decided and why
A documented fallback for each step that can fail
A handover walkthrough with whoever will maintain it
/04
Scope it yourself
Interactive
scope.txt
SCOPE CONSOLE
Describe the process. See what we'd build.
Type a process you run by hand. This scopes it live into the same shape we'd actually ship — real tools, real sequence, with the judgment step marked.
Most automations take two to four weeks, which is roughly $4,000 to $8,000 at our $2,000 a week full-time rate. Smaller single-flow builds often fit inside flexible support at $600 a day or $1,280 a week.
02
What's the difference between this and basic n8n automation?
Basic automation is pure rules. This is the same infrastructure with an AI step added specifically where a rule would be too brittle or too complex to maintain.
03
How do you prevent the AI from making bad calls?
Every AI step ships with a confidence threshold and a fallback — either a safer default action or a human review queue.
04
Which AI model do you use?
Primarily Claude, for its reasoning and instruction-following, though the automation layer is model-agnostic if you have a preference.
05
Can this run on our existing automation platform?
Yes — we default to n8n but can build the AI step into whatever automation platform you already run.