How it works

Inputs in, an ordered run, a result out.

A Sequential Agent takes typed inputs, runs its tasks top to bottom against your tools and tables, and returns a structured result, the same way on every run.

Typed inputs

Values you pass in, validated before the run spends anything.

2 tasks

Each task runs in order, passing its output to the next.

Tools & tables

1 tool

Result + trace

A structured output, with every step recorded.

The run loop

Read→Plan→Act→Check→Write→Tracerepeats until done

What's inside

Everything this template installs, by name.

Tools1

Slack

Tasks

2 ordered tasks

What it takes in

The inputs you provide on each run, validated before anything executes.

InputTypeRequired

Reported SymptomssymptomsLong textRequired

Patient ContextcontextShort textOptional

The work, step by step

2 tasks, run in order.

Each task passes its result to the next. Here's what each does and what it produces.

01
Check {{symptoms}} ({{context}}) against the Protocol's emergency red flags. If any are present, output an immediate escalation to emergency services and a care-team alert.
Expected output
A RED-FLAG check result: escalation notice if present, else 'No emergency red flags' with the reasoning. No diagnosis. No JSON.
02
If not emergent, suggest an urgency level (Urgent/Routine/Self-care-Info) with a plain-language rationale and a recommended next step (same-day, schedule, nurse line, or approved info), framed as guidance for a clinician.
Expected output
An urgency level + rationale + recommended next step, explicitly framed as guidance, not a diagnosis or medical advice. No JSON.

Tools it uses

SlackAlert the care team channel when a red-flag escalation is identified.

What you can do with it

Urgency Assessment

Quickly categorize symptoms by urgency level

Red-Flag Escalation

Automatically flag critical symptoms for immediate attention

Clinician Decision Support

Enhance clinician's decision-making with structured triage

Streamlined Patient Triage

Improve patient flow with efficient symptom evaluation

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