SketricGen

SketricGen is a no-code AI agent builder. You describe what you need in plain English, it generates a multi-agent workflow on a visual canvas, and you publish that workflow to a website widget, an API or a messaging channel. The site pitches it at growth, marketing, sales, support and operations teams who want working agents without a developer, and at small businesses that would rather start from a pasted website than a blank page. The pages do not say where the company is based.

What you build and how

The editor is called AgentSpace, a drag-and-drop canvas where agents, tools, integrations and handoff logic are laid out the way they run. You can start from a template or a blank canvas, give each agent a role, knowledge and tools, and connect the handoffs between them visually. The company contrasts this with "black-box automation tools" where you guess what happens between steps: on the canvas every agent, connection and decision point is visible in one place.

Two routing styles are on offer. With AI-routed handoffs, agents decide where a conversation goes next based on context. With Forced Handoff you define a deterministic pipeline in which Agent A always passes to Agent B. A "Text to AI Workflow" feature lets you describe a goal in plain language and have an assistant called Max prepare the starting workflow, which you then edit by hand.

There is also a faster front door. On the home page you paste your website and SketricGen audits your business, builds what it calls a second brain, looks for growth opportunities and assembles personalized agents for marketing, content, outreach, sales and support. The site says a website-trained starting agent takes under 2 minutes to create, and that the audit itself is free.

The data layer is a set of knowledge bases. You attach file search to any agent and feed it by uploading PDFs, adding URLs, pasting text or adding question-and-answer pairs, so the agent answers from your own material. Several knowledge bases can be connected at once so that marketing, sales and support agents stay aligned on the same facts.

Testing and debugging happen in a Playground. You run the workflow there, then open Traces, which log every run with the agent steps, tool calls, handoffs, inputs, outputs, durations and credit usage. You adjust any agent's instructions or routing logic and run it again before you deploy.

Publishing is where the chatbot side shows. A workflow can go out as a website widget, be called over a REST API, or be deployed to WhatsApp, Telegram, Instagram, Slack and other channels. The site lists Shopify, WordPress, Wix and Squarespace as places it is deployed, and states the same agent serves every channel. It counts 8 or more deployment surfaces and describes the agents as always on across chat and messaging. For anyone searching under chatbot builders, the use-case list names a customer support agent, an AI chatbot for a website, an appointment setter, a lead qualification agent and a Shopify AI agent.

The workflow-automation side is the multi-agent part. The home page describes connecting research, content, outreach and sales handoffs, reviewing agent work and runs with your human team, and extending workflows through more than 2,000 apps, APIs and MCP tools. Named connectors on the product page include Notion, Calendar, Airtable and Linear. Reusable templates let you save, reuse and share proven workflows across campaigns, clients and teams, and the site also lists an MCP server in its resources.

What the pages state

Free plan. The site says "Free plan available" and "No credit card required" in several places. It does not say what the free plan includes.

Paid plans. The home page and product page state no paid-plan prices, credit allowances or usage limits; pricing sits on a separate Pricing page that these pages only link to. The one metered unit visible anywhere is the credit, since Traces report credit usage per run. Anyone budgeting should read that page before committing.

Integrations. The company claims 2,000+ app integrations, repeated as "2000+ app connectors and integrations" on the product page.

Results. A stat tile claims a 40%+ accuracy gain in the first 2 weeks. A testimonial credited to a director of support says the knowledge base let the team upload docs and FAQs instantly and that its agents now give accurate, contextual responses to 95% of customer inquiries. These are the company's own marketing figures, not independent measurements.

Hosting and security. The home page says SketricGen is architected on AWS with clear separation between your data and your controls, and that the platform itself runs on AWS services (Lambda and S3) with no servers for you to patch. It links to a security and privacy documentation page. The pages shown name no compliance certification, so none is claimed here.

Comparisons. The site carries comparison pages against Intercom, Lindy AI, Relevance AI and Make, and a blog post positioning SketricGen as a Botpress alternative for small businesses without a developer. It also answers on its own how it differs from n8n, Lindy and Gumloop.

Resources. The footer lists Pricing, Templates, Blog, Docs, an MCP Server, Contact and an Affiliate Program.

Who it suits, and who it does not

A marketing or support team that already lives in Slack, WhatsApp, Shopify or WordPress is the clearest fit. You can put a trained agent on the channel your customers use, watch every run in Traces, and fix a bad answer by editing the agent rather than a script. An agency building similar agents for several clients can use the reusable templates, and a small business owner can start from a pasted website and the free plan to see what a starting agent looks like before spending anything.

It also suits people who want more than a single chatbot. If one agent should qualify a lead, hand off to another that books the appointment and a third that drafts follow-up, the visual handoffs and the forced-versus-AI routing choice are the point of the product.

Be careful about three things. First, the pages give no paid prices or limits, so you cannot size a bill from them. Second, the pages describe the builder as no-code and mention no code export or self-hosting option, so a developer who wants to own the runtime has no stated route to it. Third, the product is built around agents, not interfaces: if you want a website, a dashboard or a database-backed app, an app or site builder is the better category. A team that needs only a simple FAQ widget may find a multi-agent canvas more than it needs.