Guides

Not theory.Finished operating recommendations.

If someone lands here from Google, the real question is not whether AI matters. The real question is whether the team has locked the stack, the sequence, the owner, and the spend before they start buying. These guides answer that question.

Each guide is a complete blueprint with real examples, implementation strategies, and the decision frame teams need before they commit to anything.

What a guide has to prove

Framework

Every guide follows the WhichAI standard: define the outcome, decompose the process, test candidate tools, and deploy with measurement built into the operating sequence.

Decision Frame

The useful question is not whether AI looks impressive. It is whether the workflow survives contact with real operations. Every guide answers: stack, owner, spend, order, consequence.

Why these guides exist

Most "AI guides" on the web are still dressed-up blog posts. These are meant to show the difference between software admiration and an actual operating recommendation someone can run after reading it.

Choose Your Path

Start with the guideclosest to the problem you are solving.

The Core Framework

12 min read

How to Build High-ROI AI Workflows

The WhichAI framework: define the ROI target, decompose the process, evaluate candidate tools against each step, and deploy with measurement built in.

Who this is for

Founders, operators, chiefs of staff, anyone who needs AI leverage but has not locked the stack yet

Read The Guide

Key Takeaway

Start with the outcome, not the tool. The expensive mistake is committing to the wrong stack before the workflow is clear.

What you will learn

  • • The 4-step ROI-first framework for any AI workflow
  • • How to calculate ROI targets before selecting tools
  • • Process decomposition into automatable components
  • • Tool selection criteria and integration planning
  • • Common pitfalls and how to avoid them

Strategic Tool Selection

15 min read

Founder's Guide to Specialized AI

How to decide when a specialized tool, a general model, or a connected stack fits the task. The guide covers five common AI categories and the operating questions to answer before buying.

Who this is for

Founders and decision-makers comparing agent-first products like Hermes Agent, OpenClaw, or Claude-managed setups

Read The Guide

Key Takeaway

The right architecture depends on the job. Start with requirements, evidence, handoffs, and review before choosing components.

What you will learn

  • • When specialized or general AI fits the task
  • • Five AI categories to evaluate when the task requires them
  • • How to avoid the generic AI trap
  • • Implementation framework with measurable acceptance criteria
  • • Tool comparison and selection matrix

Implementation Blueprint

18 min read

Business Process Automation with AI

A six-step framework for mapping processes, prioritizing opportunities, selecting tools, piloting, deploying, and improving. Examples are planning scenarios, not customer results.

Who this is for

Operations leads, product managers, and teams turning manual processes into repeatable systems

Read The Guide

Key Takeaway

Not everything should be automated. The matrix shows what to automate first and what to leave alone.

What you will learn

  • • The 6-step BPA implementation framework
  • • Process discovery and mapping methodology
  • • Opportunity prioritization matrix
  • • Tool selection by function category
  • • Pilot-to-scale deployment playbook

Decision Context

If you are comparing agent products,compare the decision before the runtime.

People searching Hermes Agent, OpenClaw, Claude managed agents, and other agent-first products are often carrying the same operational pressure: AI clearly matters, but the team still has not locked the stack, sequence, owner, or spend. WhichAI guides are useful one step earlier.

Agent-first evaluation

Which agent should we use?

  • • Starts with the runtime before the workflow is clear
  • • Demos can look capable without proving the operating decision
  • • Teams often wire the agent before knowing what stack they need
  • • Risk: committing to a tool before understanding the job

WhichAI approach

What stack should exist at all?

  • • Starts with the outcome: what does success look like?
  • • Shows the decision frame: tools, owner, spend, order, consequence
  • • Answers the stack question before the agent question
  • • Result: an inspectable plan that exposes what must still be verified and configured

Common Questions

What teams askbefore they start building.

What is the best way to start building AI workflows for my business?

Start with the ROI target, not the tool. Identify the most time-consuming repetitive process in your business, calculate its current cost in hours and dollars, and set a measurable target for reduction. Then use WhichAI to get a tool-specific recommendation rather than trying to force a generic AI to do everything.

Should I use Claude, ChatGPT, or specialized AI tools for my business?

The answer depends on the job, data, controls, integrations, and review burden. General models can handle many tasks. Specialized products may add data access, interfaces, or controls. WhichAI maps the requirements and recommends a combination to evaluate.

How do AI workflow agents like Hermes Agent or OpenClaw compare to WhichAI?

Agent-first products focus on which runtime should do the work. WhichAI sits earlier in that decision, showing a proposed stack, sequence, spend, and owner before someone commits to an agent setup.

How much does it cost to implement an AI workflow?

It depends on usage, plans, integration work, review time, maintenance, and incident handling. WhichAI makes those assumptions visible so you can compare a proposed stack with your measured baseline before you buy.

Do I need a paid plan to generate workflows?

Yes. The guides are public, but workflow generation requires an active Starter or Pro plan.

Start Planning

Ready to plan your firsttask-specific AI workflow?

Describe the job in plain English after choosing Starter or Pro and get a task-specific recommendation back.