Procurement tool

AI procurement red flag generator

Generate the questions that should slow down a purchase before approval.

Fast answerA red-flag review list for vendor calls, procurement notes, and technical signoff.

Inputs

What to collect

Purchase type	Model, tool, app, laptop, GPU, server, or managed service.
Critical claim	The vendor promise that makes the purchase look urgent.
Failure cost	What breaks if the claim is wrong after rollout.

Method

How to use it

1	Translate the strongest sales claim into a testable acceptance check.
2	Ask who owns cost, security, export, rollback, and support after purchase.
3	Delay approval when the buyer cannot test the claim before committing.

Output

How to read the result

Model or tool	Ask for eval and audit evidence	Do not accept demos as production proof.
App	Ask for export, deletion, and retention proof	Personal usefulness is not governance.
Hardware	Ask for power, thermals, warranty, and support detail	Benchmark wins do not pay for operations.

Thresholds

Useful vs risky

Healthy	Every purchase has acceptance tests and an owner for failure.
Risky	Approval depends on a vendor claim nobody has reproduced.

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.