sefid-1.0-stable

Sefid's own model

sefid-1.0-stable is the AI engine behind your chatbot. It's built on open-source models, but the experience the user gets comes from Sefid's dedicated layer — not just a raw model.

01 — Infrastructure

Built on open-source models

sefid-1.0-stable is built on open-source AI models.

Depending on each request's type, Sefid dynamically picks the most suitable model to deliver the best quality, speed, and cost.

Base models
Open sourceMulti-modelDynamic selection
02 — Research-driven

Born from research on real user behavior

sefid-1.0-stable wasn't built overnight. By researching how users ask questions in different situations and what kind of answer they expect, we found the right behavioral patterns and built them into the model. The result is a model that doesn't just generate replies — it understands the timing, tone, and style of the response too.

Collecting real conversations

Reviewing thousands of real user conversations with stores

1

Identifying behavioral patterns

Extracting frequent situations and the right response to each

2

Implementation & evaluation

Applying the patterns in the model and continuously measuring reply quality

3

10,000+

conversations analyzed

20+

behavioral situations

Continuous

evaluation & improvement

03 — Behavior

Behavior

sefid-1.0-stable isn't just an answering machine; it's designed for real interaction with store users. Pick a behavior to see its sample conversation live.

Smart sellingOnline
Hi, I'm looking for wireless headphones
Hi! We have several best-selling wireless headphone models. Roughly what's your budget so I can suggest the best option? 🎧
Under 300
Great! These three models have had the highest satisfaction in that range — sending them over 👇
04 — The dedicated layer

The difference is Sefid's dedicated layer

The base model is just the initial infrastructure. What sets sefid-1.0-stable apart is Sefid's dedicated layer on top of these models: from request management and routing to knowledge, memory, behavior, and safety. That's why the experience the user gets comes from Sefid's dedicated layer, not merely the base model.

The user's message comes in
  1. 1

    Orchestration & Routing

    Each request is routed to the most suitable model and path based on its type. A simple question may be answered by a light model and a complex request by a stronger one.

  2. 2

    Prompting

    Precise, optimized instructions that shape the model's behavior to match your business's tone and rules.

  3. 3

    Proprietary RAG

    Sefid's own retrieval and knowledge-injection system that grounds replies in your site's real content and products, not the model's general knowledge.

  4. 4

    Memory

    Keeping conversation context so the chatbot remembers the flow of the conversation and the user's needs throughout the interaction.

  5. 5

    Behavior Tuning

    Tuning the model's behavior based on research into how to respond in different user situations.

  6. 6

    Evaluation

    Continuous evaluation of reply quality to maintain accuracy and keep improving the experience.

  7. 7

    Safety / Style Layer

    A safety and style layer that prevents inappropriate replies and keeps the tone aligned with your brand.

  8. 8

    Optimization

    Optimizing each reply's speed and cost, so you get a smooth experience with minimal credit usage.

The final reply to the user
05 — Get started

Build your chatbot with sefid-1.0-stable

Start the experience of a real, fast, always-available chatbot with Sefid.

Start for freeSee pricing