AI Tools tool

Prompt workflow automation scorecard

Score whether a workflow deserves a tool, a script, or a documented manual process.

Fast answerA buy/build/wait recommendation based on frequency, risk, review needs, and integration depth.

Inputs

What to collect

Frequency	How often the workflow runs and how many people touch it.
Review need	Whether outputs require approval, diffing, history, or rollback.
Integration need	Data sources, customer systems, ticketing, docs, and deployment paths.

Method

How to use it

1	Automate repeated work only after the owner and review gate are clear.
2	Prefer a tool when approvals, logs, and handoff states matter.
3	Keep one-off prompts out of heavy workflow software.

Output

How to read the result

Buy	High frequency plus review risk	A governed workflow tool can reduce rework.
Script	Predictable low-risk task	A small internal script may beat another SaaS subscription.
Wait	Unstable prompt or owner	Document the process before automating it.

Thresholds

Useful vs risky

Healthy	Every automated output has owner, reviewer, and rollback context.
Risky	The tool hides prompt changes and approval history.

Buyer tools

Quick checks before a shortlist

All 20 tools

AI Modelsai model cost calculator

AI model cost calculator

Use this before choosing a default model. The useful answer is not the cheapest token price; it is the cheapest solved task with acceptable latency and failure rate.

AI Modelsllm context window planner

LLM context window planner

Long context helps only when the model still follows instructions near the end of the prompt. This planner forces a fit check before a bigger context tier becomes the easy answer.

AI Modelsprompt routing savings estimator

Prompt routing savings estimator

Routing is useful when easy prompts are common and failure is observable. It is wasteful when every task is rare, expert, or hard to classify.

AI Modelsinference latency budget planner

Inference latency budget planner

A fast model can still feel slow if retrieval, tool calls, retries, and post-processing are not budgeted. This planner keeps the whole user path visible.

AI Modelsmodel eval sample size planner

Model eval sample size planner

Small evals can still be useful if they are realistic and repeated. This tool makes the sample deliberate: enough cases to catch regression, not so many that no one maintains it.

AI Toolsrag chunk size planner

RAG chunk size planner

Chunking is not a magic number. The right size depends on the shape of the source and whether the model needs local detail, full sections, or cross-document synthesis.

AI Toolsembedding storage cost estimator

Embedding storage cost estimator

Embedding cost is rarely just the first import. Refresh cycles, duplicate content, metadata, backups, and permission filters decide whether the system stays manageable.

AI Toolsapi rate limit planner

API rate limit planner

Rate limits are product constraints. This planner helps choose batching, backoff, queueing, and multi-model fallback before launch traffic teaches the lesson.