Explore

notes/scrap

Prompts

Personality:

You are a person that has an analytical view towards things with a motive to observe patterns behind actuality. Question things till their fundamentals, be mindful about assumptions, read data, and infer insights. Readily share strong opinions while being careful and thinking twice. Don't sugarcoat things. Ask questions to clarify anything you need before thinking. Think carefully. Be practical. Take a forward-thinking top 1% view.

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process for website:

1. understand: product, market, audience

product - features, flow, usecase, value proposition

market - landscape (overview, features, audience, positioning)

audience - archetypes (industry, geography, ticket size, channels, behaviour, needs + goals) (primary + secondary + tertiary)

2. positioning (content messaging (structure + tone of voice + microcopy) + visual messaging (narrative + colors + typography))

3. ideation (layouts + navigation + interactions)

4. execution

landscape

audience

product overview - features

positioning

gtm - audience

product - features (+hierarchy)

gtm - audience (industry, geography, use cases, channels, initiatives)

positioning - value prop

narrative

pragmatic:

achieve _[value prop]_ using _[feature]_ if you are _[audience]_

+ narrative

5.5. Strategic Implications

Messaging focus: Highlight orchestration + voice + hybrid onboarding.

Positioning moat: Strong defensibility in high-complexity workflows.

Market education: Invest in educating buyers about value beyond scripting (IVR-like bots) — show the ROI of orchestration.

Brand narrative clarity: Competitors talk about assistants or agents — Nurix talks about "Mastering Every Conversation" via design + flow.

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Visual Assets (To Be Designed)

Positioning Map (2x2 Grid)

Placement of Nurix and competitors with icons/logos.

Differentiation Radar Chart

Spokes: Voice, Orchestration, Personalization, Workflow UI, Channel Coverage, Pricing Flexibility

Competitive Table Infographic

Summary of key dimensions with comparative heat map styling.

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Let me know if you’d like to include any of the following:

Pricing comparison / public plans (only few have them)

Product screenshots for a visual side-by-side

Customer quotes or market perception snapshots

Otherwise, I’ll continue to Part 6: Distribution & Channel Strategy next.

Great question. The distinction between scripting and orchestration is fundamental in understanding how AI agents are built and what kind of problems they can solve.

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🔹 Scripting:

This refers to linear, rule-based flows — like a decision tree. It’s typically:

Hardcoded logic: If user says X, respond with Y.

Rigid and not adaptive to unexpected inputs.

Designed using basic tools or scripts (e.g., if-else conditions).

Easy to build, but hard to scale or personalize.

Common in early voice bots, IVRs, or basic chatbot builders.

Example:

If the user asks about a refund → ask for order number → respond with status. No deeper logic or variability.

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🔹 Orchestration:

This refers to building dynamic, multi-path agent logic that can:

Handle complexity, with fallback, memory, and context-awareness.

Include modular logic, like reusable nodes, APIs, tool invocations.

Enable conditional branching, retries, escalations, and integrations.

Be configured in a workflow studio — often visually.

Make agents feel more intelligent, adaptive, and business-aware.

Example:

If user asks about a refund, the agent:

Checks eligibility via API

Looks up historical interactions

Decides whether to route to human or not

Sends confirmation via email or SMS

Logs this into CRM And does all of this without breaking the conversation flow.

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🧠 Why this distinction matters for Nurix:

Scripting = basic logic. It works for simple FAQs or repetitive tasks.

Orchestration = adaptive intelligence. This is where Nurix differentiates — by allowing businesses to map real processes into multi-step, personalized conversations.

It’s similar to the difference between a macro vs. a workflow engine.

Let me know if you want a visual comparison or metaphor here too.

Here’s a visual and metaphorical comparison between Scripting and Orchestration to clearly illustrate the difference and why it matters in Nurix’s positioning:

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🔸 Visual Comparison Table: Scripting vs Orchestration

Table 3

Table 3

Dimension

Scripting

Orchestration

Complexity

Low – handles simple, linear flows

High – supports complex, branching, and conditional logic

Flexibility

Rigid – breaks if unexpected input occurs

Adaptive – adjusts behavior dynamically

Scalability

Hard to scale across many use cases

Scales easily through modularity and reusability

Tooling

Code-based or simple script editors

Visual workflow studios + configuration layers

Context Handling

Minimal context retention

Deep context, memory, and multi-turn awareness

Personalization

Basic templating

Context-aware, data-integrated personalization

Maintenance

Manual updates per flow

Centrally controlled, modular updates

Use Cases

FAQs, IVR menus, form fillers

Dynamic support workflows, sales flows, claim automation

Developer Dependency

High – technical scripting required

Low – business & ops teams can participate via UI

Nurix Fit

Not the focus

Core value proposition

There are no rows in this table

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🔹 Metaphor: Scripting vs Orchestration

🧾 Scripting is a To-Do List

It’s like writing instructions on paper.

If something changes, you need to rewrite the steps.

Anyone following it can’t improvise.

🎻 Orchestration is a Symphony Conductor

It manages multiple instruments (APIs, tools, agents).

Responds in real time to changes (volume, tempo, audience).

It knows the full composition — and ensures harmony.

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🧭 Why this matters in Nurix’s GTM and Product:

Competitors like Bland.ai and Stack.ai lean toward scripting or thin-layer orchestration.

Nurix positions itself as enabling true orchestration — complex logic, personalization, fallback mechanisms, API-triggered actions, multi-agent collaboration, all in a seamless UX.

This is especially critical in industries like insurance or retail, where workflows aren't predictable and contextual escalation, compliance, and timing are crucial.

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Would you like a canvas-style illustration or Miro-style visual representation to go along with this for use in pitch decks or internal documentation?

Sure — here’s a detailed example workflow for a Retail Customer Support Voice Agent built on Nurix, showing the orchestration paradigm in action. This highlights how different blocks and logic come together beyond scripting.

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🛍️ Use Case: "Where is My Order?" + Upsell + Escalation

A customer calls to inquire about their delayed order. The agent checks status, updates them, offers store credits, and suggests a complementary item. If the customer is still unhappy, it escalates to a human agent.

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🧩 Workflow Components

1. Voice Agent Entry Node

Trigger: Inbound call

Voice personality: Friendly, brand-aligned

Greeting Prompt: “Hi! You’ve reached [Brand Name] support. How can I help you today?”

2. Intent Detection Block

Uses LLM or custom classifier to determine:

Order status

Complaint

Refund/return

Something else

3. Order Lookup (Tool Integration Block)

If intent = Order status: → Pulls data from Shopify or order DB via API

Output: Order ID, delivery ETA, current status

4. Conditional Logic Node

If delivery is delayed by more than X hours → proceed to next block

Else → reply with status and close

5. Customer Sentiment & Contextual Offer

If sentiment is negative and delay is true:

“We’re so sorry for the delay. As a gesture, we’ve added a $10 store credit to your account.”

6. Recommendation Block (Optional Smart Suggestion)

“By the way, customers who ordered [item] also loved [complementary product]. Want me to add it to your cart?”

7. Fallback / Escalation Node (Global Node Trigger)

Trigger condition: 2+ negative sentiment turns OR customer says “talk to a person”

Makes an API call to route to live agent with:

Call context

Call transcript so far

Order ID + recent sentiment flag

8. Call Summary Block

Generates summary using custom summarization prompt:

“Customer called for delayed order, was offered credit, interested in upsell but escalated to live agent.”

9. Categorization Block

Labels: Order Status, Upsell Attempted, Escalated, Negative Sentiment

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🧠 What This Demonstrates

Table 4

Table 4

Feature

Orchestration Element

Personalization

Order lookup + contextual offer

Logic handling

Delay thresholds, multi-branch paths

Tool integration

Shopify, CRM, internal APIs

Human fallback

Escalation node with full context

Modular reuse

Same recommendation block used across workflows

Compliance

Summary and categorization for auditability

There are no rows in this table

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Would you like this turned into a workflow diagram (visual graph) with labeled blocks and connections for better storytelling and inclusion in decks or onboarding?

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