Webtamine

Technology and money, explained.

Illustrated portrait of Maya Reed in a Webtamine T-shirt

Maya Reed

Maya Reed covers AI models and agents, focusing on permissions, costs and the practical limits of automation.

Latest

Temperature reshapes a token probability distribution while top_p cuts off its cumulative tail
AI ·

Temperature vs top_p: Which Sampling Control to Change

Temperature reshapes token probabilities; top_p cuts the cumulative tail. Change one control at a time.

Retry-After guidance for HTTP 429 and 503 responses with a bounded client retry
HTTP ·

Retry-After for 429 and 503: Build a Safer Client

Parse Retry-After correctly, then combine it with deadlines, jitter, attempt caps and idempotency checks.

Two terminal windows compare loose JSON output with a schema-checked structured response
AI ·

Structured Outputs vs JSON Mode: What the Schema Changes

Choose Structured Outputs or JSON mode by whether valid JSON is enough or every field must follow a schema.

Comparison of the Cache-Control directives no-cache, no-store and private
HTTP ·

Cache-Control: no-cache vs no-store vs private

Choose no-cache, no-store or private by what may be stored, reused and shared—not by the directive's name.

Illustrative cumulative token readings of 45, 82 and 120, with 120 emphasized as the final count.
API pricing ·

Claude API Streaming Usage: Count Tokens Once

Record cumulative token counters once, preserve interrupted attempts and separate completion from acceptance.

Three AI workflows in Webtamine lime and black: identical prompt cards entering a cache, different questions converging on a stored answer, and documents retrieved before generation.
Prompt caching ·

Prompt Caching vs Semantic Caching vs RAG

Prompt caching, semantic caching and RAG reuse different things. Pick the right layer for cost, safety and freshness.

Two separate billing panels connected to a usage receipt in Webtamine lime, black and warm white.
OpenAI API ·

OpenAI API Billing: Why ChatGPT Plans Do Not Include Credits

ChatGPT and the OpenAI API use separate billing. API access needs its own organization, credits and limits.

Requests collected into a batch with a clock indicating deferred results.
API Pricing ·

OpenAI Batch API: Lower Token Costs, Deferred Results

Batch processing discounts eligible API work, while identifiers, error files and expiration need their own handling.

Repeated document blocks beside a smaller reused block
API pricing ·

Prompt caching costs: reads, writes and real savings

A worked example of API cache reads, writes and the cost of changing input and generated answers.

Task cards continuing beside a closed laptop and a clock
Anthropic ·

Anthropic Tests AI Negotiators in a Book-Swap Market

The agents could bargain. Understanding what their owners wanted was harder.

Model-weight blocks lifted from a box beside a license document
Open-weight models ·

Open-Weight AI Models: What You Can Use and Change

A model download gives you files. The license tells you what you may do with them.

Task cards continuing beside a closed laptop and a clock
AI agents ·

What an AI Agent Can Do After You Close the Chat

Background work needs more than a model. It needs a place to run and clear limits.

A task passing through meters that add separate costs
AI costs ·

The Cost of an AI Task Goes Beyond the Token Price

Count completed tasks, including retries and review, before comparing model prices.

A laptop beside separate processor, graphics and neural compute chips
Liquid AI ·

Liquid AI Brings Its Context Layer to Snapdragon

The software keeps personal context locally and shares relevant information with permitted agents.

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