← Daily Brief for August 25, 2026
Make separates input and output token rates for accessible AI workflows
Focus: Applied Generative AI for Knowledge Workers
Date: August 24, 2026
Topics: No-code AI, workflow economics, context efficiency, token usage
Evidence: Unspecified
Availability: Unspecified
Summary: Make changed the credit conversion for its built-in AI provider to price input and output tokens separately. Its current documentation lists different token-per-credit rates by model and applies lower rates to contexts above 272,000 tokens for several OpenAI models. Make says the revised structure reduces credit consumption for most automation workflows.
Why it matters: Non-technical builders can now see more clearly that large source packets and long generated responses have different economic effects. This makes context selection, output limits, summarization stages, and model choice part of responsible workflow design rather than invisible technical details.
Original commentary: A useful exercise could compare three versions of the same research workflow: indiscriminate context loading, selective retrieval, and staged summarization. Learners can evaluate quality, review burden, and credits consumed together.
Source: Make 2026 product updates