Decagon gives customer-service teams a system for building and improving AI agents
Explore Decagon’s customer-service agents, Agent Operating Procedures, Duet, testing tools and the commercial questions for enterprise buyers.
One independent blueprint for each company. Understand the products, audiences, workflows and pricing behind AI businesses.
Explore Decagon’s customer-service agents, Agent Operating Procedures, Duet, testing tools and the commercial questions for enterprise buyers.
How Descript’s transcript editing, Underlord and audio repair fit a production workflow, with current pricing and practical limits.
Elicit’s literature research workflow, industry pricing, screening, extraction and alternatives explained for researchers and research teams.
Exa’s search API, extraction and research agents explained, with usage pricing, a worked workflow and alternatives for developers.
How Fireflies.ai captures meetings, runs AI Skills and sends insights to other tools, with current pricing, credit costs and limits.
How Gamma creates presentations and documents, where imports and exports differ, and what its current plans and AI credits cost.
Explore Glean’s enterprise search, connectors, AI agents and pricing approach, with a practical workflow and important Salesforce permission details.
A practical guide to GroqCloud models, token pricing, tool calling and the tests that reveal whether faster inference improves your product.
Understand Gumloop’s agents, skills, approval controls and current credit pricing, with a worked customer research workflow and useful alternatives.
An explanation of Hex notebooks, AI agents, data apps and pricing, with a worked conversion-analysis workflow and the checks that keep it trustworthy.
How HeyGen’s avatars, AI Studio and video translation work, what the plans cost, and how to evaluate training and localisation workflows.
A guide to Intercom and Fin, including outcome pricing, data connectors, support workflows and alternatives for customer service teams.
How Jasper combines brand context, Canvas and Grid, what Pro and Business cost, and where a marketing team should test the workflow.
Understand Make’s visual scenarios, bundles, credit pricing, AI connections and error recovery before building a production automation.
A guide to Mistral’s model portfolio, Studio and document-processing APIs, including current usage prices and a worked extraction architecture.
How Notion AI, agents, meeting notes and connected search work, with current pricing, usage limits and a practical team evaluation.
How Otter.ai records meetings, creates summaries and controls sharing, with current pricing and a practical evaluation for teams.
Perplexity’s search, Research mode, Projects, pricing and privacy explained, with a worked briefing workflow and relevant alternatives.
How Replicate predictions, deployments and model pricing fit a real application, including asynchronous jobs, output retention and approved-asset costs.
How Replit connects its AI agent, database and publishing tools, what a real app still needs, and how to understand subscription and usage costs.
A guide to Runway’s video models, Edit Studio, reusable workflows and credit pricing, with a practical way to evaluate production fit.
A guide to Sierra’s customer-service agents, Agent Studio, Ghostwriter, outcome-based pricing and implementation tradeoffs.
Understand Surfer’s Content Editor, audits, AI writing and pricing, with a practical page-refresh workflow and the limits of content scores.
How ThoughtSpot Spotter, semantic models and Liveboards support self-service analysis, with current pricing and a worked margin-investigation example.