Flowise pricing in 2026 — plans, predictions, and what you really pay
Flowise pricing starts free (self-hosted or cloud), with paid plans from $35/month. Here is a clear breakdown of Flowise pricing in 2026 and its hidden costs.
Aramb Blog8 min read
automation
229 stories
Run Google's Antigravity coding agent in your Buddy pipelines
Connect Google Gemini and add the Antigravity action to review code, generate changes, and automate engineering tasks on every push.
Buddy Works Blog5 min read
AI Agent vs Zapier Automation
Zapier runs a fixed trigger-action recipe. See how an AI agent plans its own steps instead, with a side-by-side of the same recurring workflow built both ways.
Construct Computer Blog9 min read
Our AI agent reverse-engineered the hidden APIs behind 4,300 web apps.
Browser agents are slow because they use the UI as their runtime. The better path is learning the contracts underneath the UI and using them directly.
Pluno Blog7 min read
AI Ticketing Systems in 2026: How They Work + Best Tools [Guide]
How AI ticketing systems work in 2026, how to choose one, and the tools worth shortlisting for both IT service desks and customer support teams.
Pluno Blog17 min read
Automate What Happens After a Booking with Chronock Webhooks
Chronock webhooks can notify your tools when bookings are created, canceled, or rescheduled, so teams can automate CRM updates, alerts, and custom workflows.
Chronock Blog7 min read
The browser agent stack, explained
The browser agent stack, mapped layer by layer: model, harness, browser drivers, engine. Lightpanda covers three of the four in a single binary.
Lightpanda Blog7 min read
How to automatically copy events from one Google Calendar to another
Google Calendar copies one event at a time, never automatically. Compare manual copy, import, Apps Script, and sync tools that keep a busy-only copy up to date.
Chronock Blog5 min read
Using Lightpanda with agent-browser
agent-browser drives Lightpanda over CDP with a one-flag switch. Here is how to get the most out of the integration, plus a demo script you can run today.
Lightpanda Blog8 min read
AI Agents for Sales: Use Cases, Tools, and Automation
AI agents for sales automate lead research, outbound sequencing, and CRM updates so reps spend more time in actual selling conversations.
Pazi Blog11 min read
Benchmarking Lightpanda’s native agent
We learned that an agent’s tools matter more than its engine. We rebuilt our tool surface: the MCP is now far faster and more accurate, and a native agent built into the binary is faster still.
Lightpanda Blog10 min read
AI Agents for Customer Service: How to Automate Your Support Team in 2026
AI agents automate customer service ticket handling end to end; here is how support teams implement them.
Pazi Blog13 min read
Introducing Lightpanda Agent and PandaScript: LLM at buildtime not runtime
Lightpanda now has a built-in agent. Talk to it in natural language, get a reliable script back. Run that script forever only calling an LLM when it needs fixing.
Lightpanda Blog7 min readAI Form Builder for Customer Support: Ticket Triage & Automation
Use AI-powered forms to collect, classify, and route support tickets automatically. Extract issue details from screenshots and route urgent tickets to the right team.
DodoForm Blog4 min readWorkflow Automation with Forms: Webhooks, Logic & Integrations
Turn form submissions into automated workflows. Use conditional logic, webhooks, and integrations to route data to your CRM, Slack, and analytics tools without writing code.
DodoForm Blog4 min read
How should we benchmark Lightpanda for AI agents?
We ran Lightpanda, agent-browser, and browser-use through AssistantBench and GAIA Level 1 with Claude Sonnet 4.6 as the brain. The tool surface mattered more than the engine.
Lightpanda Blog11 min read
Lightpanda is now a browser backend in Hermes Agent
Lightpanda is now an officially supported browser backend in Nous Research's Hermes Agent. One config line to enable, with automatic Chrome fallback for the gaps.
Lightpanda Blog4 min readTransforming Your Data
It comes in messy, unformatted, and often fragmented pieces. The ultimate goal of any data process is to bridge this gap: to make raw data analyzable so we can extract meaningful insights, which are most effectively understood when visualized.
Columns AI Blog3 min read
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