Switch AI Models Mid Conversation, Keep Context
Switch AI models mid conversation without repeating yourself. Shared memory holds context outside the model, which no single vendor subscription can offer.
Deep dives, release notes, and lessons from the team building ChatFuse.
Switch AI models mid conversation without repeating yourself. Shared memory holds context outside the model, which no single vendor subscription can offer.
AI API pricing comparison for 2026: GPT-6 Astra, Claude Fable 5.1, Gemini 3.8 Flash and Meta Muse Spark, and why the sticker price is not the bill.
AI model deprecation works like an employee retiring, except nothing gets handed over. Three providers, three notice periods, and what your business loses.
A three week AI deployment is realistic because the models already exist. The work is access, boundaries and a definition of done. Here is what each week holds.
An AI org chart gives every AI role one clear job and one clear handoff. Here are the 25 roles we run our company on, and how to start with just 2.
Own your AI context and rent the models. One layer of an AI system compounds in value, the other depreciates on somebody else's schedule. Know which is which.
Multi agent QA splits finding bugs from fixing them, because an agent that implements its own findings rationalises them. Here is the workflow we run.
Self maintaining AI memory reads yesterday's transcripts on a schedule and updates itself. No human curation, and no hook interrupting you mid sentence.
API rate limiting usually stores a user ID or IP as the key. Here is how ChatFuse throttles abuse without any identifier ever reaching the limiter.
Cross model code review has one AI check another one's code. The part everyone skips is proving the reviewer is awake before trusting a clean result.
AI agent write actions are the moment an assistant stops reading and starts doing. Here is the confirmation boundary we built so a model cannot send on its own.
A multi model agent team gives each model one job it cannot mark its own work on. Opus orchestrates, Kimi finds, Sol implements. 181 findings in one day.
Fable 5 vs GPT-5.6 Sol: Fable wins on judgment and deep engineering, Sol on cost and agentic coding. Here is which model to use for which job, and why.
AI agent skills turn a prompt you retype into a versioned capability you can review and test. Here are the 27 we run, and the one that failed silently.
Energy efficient AI model routing sends each prompt to the smallest model that can answer it, cutting energy per query 60% to 85% with the same output.
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