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Build Agents with Weaver

Weaver is the prompt-first interface in SmythOS that lets you build AI agents by simply describing what you want. Unlike traditional agent builder tools that ask you to think like a developer, Weaver is task-oriented: you describe goals; Weaver builds.

What is Weaver?

Weaver lets you describe your automation goal in natural language. It interprets your prompt, builds the logic, and delivers a working agent ready to run.

Weaver transforms your text instructions into complete, testable workflows without needing to write a single line of code. It’s where your prompt becomes agent... and your typing becomes Smyth-ing.

Understand Agent Weaver in 3 Minutes

While Studio gives you a classic drag-and-drop canvas for building agents manually, Weaver starts with natural conversation in a single prompt box.

Just describe what you need. Weaver thinks, plans, and builds it for you; piece by piece.

Here’s how it works:

  1. You describe your goal
    e.g. "Help me write SEO-optimized articles for my blog about calculators"

  2. Weaver interprets your intent
    It enters a “Thinking...” state where it analyzes what kind of agent you might need.

  3. It asks clarifying questions
    Weaver ensures it gets things right by prompting you for context like:

    • Which platforms you publish to
    • What type or tone of content you prefer
    • Whether you need research assistance or just writing
  4. It proposes a workflow plan
    Example:

    • Generate blog structure
    • Write full content
    • Research topics
    • Publish (optional)
  5. Weaver auto-creates the workflow
    Using skills from the SmythOS library, Weaver:

    • Picks components
    • Connects them based on data needs
    • Assigns inputs/outputs, types, and even color codes
  6. You test, tweak, and ship within chat
    Just type. No config panels, no handoffs, no code.

Behind the scenes, Weaver behaves like a LLM orchestration engine paired with a smart schema-aware composer, but you never see the wiring unless you want to.

-> Try a prompt like:

Create a research agent that finds product reviews and summarizes them in markdown.

This makes Weaver the fastest way to build AI agents in SmythOS.

Want a head start?

Check the available prebuilt templates to see what’s possible, then remix to fit your use case.

Why We Built Weaver

Before Weaver, building an agent felt like coding a backend from scratch: wiring APIs, managing logic, handling retries... all before the real work even started. That's why Weaver is so powerful. It is a true no-code agent orchestration tool. Now you just ask for what you want. Explain what you need to Weave your AI agent:

Prompt → Skill Suggestions → Visual Flow → Live Test → Fix/Deploy

It’s not just easier... it’s friendlier, faster, and far more forgiving for anyone.

  • All SmythOS plans (free and paid) include free credits to use tools in the app, including Agent Weaver.
  • After exhausting credits: Users are limited to 5 requests per 24 hours.
  • Credit restoration: Credits are automatically restored at the beginning of each month.

Key Features of Weaver

CapabilityDescription
Prompt-Based BuildStart with plain text. Weaver handles planning and assembly.
Auto-Linked ComponentsIt chooses components from the SmythOS library and wires them automatically.
Live TestingTest agents directly in chat.
AI-Powered FixesUse the “Fix with AI” option for broken or misconfigured components.
Zero-Code DeploymentLaunch agents to API or Web UI instantly.

How to Get Started with Weaver

We call this flow Chat-to-Agent:

  1. Describe the agent:
    Create an agent that writes SEO articles and posts to WordPress.
  2. (Optionally) list its skills:
    The agent should have the following skills...It should write SEO-optimised articles, extract primary and secondary keywords, and post content to Wordpress.
  3. Weaver thinks aloud and asks smart questions
    Weaver responds with a preview of its planned workflows, then follows up with clarifying questions like:
    • What kind of blogs are you targeting?
    • Do you want keyword extraction to be optional or required?
    • Which CMS platform are you using — WordPress.com or self-hosted?
  4. Weaver maps those into 3 components:
  • GenAI LLM (to write the article)
  • Classifier (to extract keywords)
  • APICall (to post the content)
  1. It wires them into a functional layout... like magic, but with schema integrity. Weaver also sets names, descriptions, inputs, and outputs, ensuring clarity and relevance.
  2. Test the agent directly in chat.
  3. Fix any breakage with a single click or asking Weaver to fix the issues by prompting it.
  4. Deploy and go live without writing any code.

Weaver even lets you attach images or flow diagrams to describe what you want.
Great for visual thinkers, or folks who like whiteboarding their way through a build.

Fixing with AI

Component break? Happens to the best of us. Weaver gives you:

  • Input/output previews
  • A "Fix with AI" button
  • The ability to select and debug multiple components (Cmd/Ctrl + click is your friend)
  • Weaver rewrites only what’s broken or selected -> Your agent keeps running; no blanket rebuild required.
You're in control with Weaver
Weaver doesn’t try to fix the entire agent unless you ask it to.

Inside Weaver

Weaver combines:

  • Prompt parsing to identify goals and intent
  • Skill suggestion based on our core component library
  • Dependency mapping to auto-wire your logic
  • Live doc search to answer product questions... yes, even "How do I upgrade?"

It’s fast, helpful, and never passive-aggressive.

Understand Key Concepts of Weaver

TermMeaning
AgentTask-running bot powered by LLMs & skills
WorkflowSequence of components linked by inputs/outputs
ComponentA single block that performs a task (API call, generation, classification, etc.) ( mandatory · optional)

You can learn more about input/output design and flow behavior in the Weaver I/O guide, and explore how Weaver handles broken logic in the debugging section.

Behind the scenes

Weaver uses a smart orchestration engine that understands prompts, assigns components, and preserves schema structure across complex workflows.

Start Building with Weaver

Weaver supports both simple and multi-step use cases for building agents, such as:

  • Blog writing and publishing
  • Email sequence automation
  • Market research + summarization
  • Internal reporting workflows

Weaver encourages:

  • Task-based thinking (“extract keywords” > “run NLP”)
  • Smaller, focused workflows
  • Reuse over reinvention
Fix with AI

If a component breaks, use Weaver’s contextual AI repair. It suggests or implements changes only for the affected block.

Who Should Use Weaver? (Hint: Probably You Soon)

  • Ops leads converting checklists into automations
  • PMs prototyping in a SmythOS AI design environment
  • Analysts who want results
  • Developers who’d rather start at 80 % than 0 %

If you’ve ever thought “I know what I want, I just don’t know how to build it,” Weaver’s for you.

Weaver is for everyone

No matter if you're an ops lead, content strategist, or developer, Weaver makes automation more accessible.