Blog
Tips, guides, and insights on AI teammates, smarter support, and building better teams.

OpenAI Realtime API: a current guide to live voice support
Learn when the OpenAI Realtime API fits a live voice-support experience, how to choose a session and transport, and what to test before callers rely on it.

OpenAI Threads API: conversation state after Assistants
Learn why OpenAI conversation state now belongs in the Responses and Conversations APIs, what your application still owns, and how to test an eesel teammate safely.

OpenAI Fine-Tuning API: what to do as it winds down
Learn OpenAI's current fine-tuning status, how to decide between training and support configuration, and how to test a safer path before customer replies change.

OpenAI Image Edit API: a practical guide to safe image workflows
Learn what the OpenAI Image Edit API does, when to use the Image or Responses API, and how to test image-based support work without confusing an edit with a verified outcome.

OpenAI Image Variations API: what it does in 2026
Understand the legacy OpenAI Image Variations API, when current image edits are a better fit, and how to keep visual support content and teammate guidance under review.

GPT-6 Astra pricing: every API tier and ChatGPT plan in 2026
A full breakdown of GPT-6 Astra pricing: the $10/$50 standard API tier, Batch, Flex and Fast mode, the long-context surcharge, and which ChatGPT plans include it.

8 best Influx alternatives for customer support in 2026
The best Influx alternatives for 2026, from flexible support outsourcers like SupportYourApp and Peak Support to the AI layer that clears tier-1 before you buy agent-months.

OpenAI ChatKit Sessions API: current setup and migration choices
Understand OpenAI ChatKit Sessions, client-secret handling, the Agent Builder transition, and when a ready-to-work eesel support teammate is a better fit than building a custom chat stack.

OpenAI Embeddings API: how semantic search actually works
Learn how the OpenAI Embeddings API supports semantic search and retrieval, what a support knowledge workflow still needs, and how to test it before relying on results.
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