All case studies/HowTheF (Internal)

HowTheF (Internal)

H

AI Workflow Generation from Single Prompts

Internal Project
What we built
<60s
Generation Time
Full workflow ready
7
Sections
Complete roadmap generated
1
Prompt
Single input needed
At a glance

This is our methodology made transparent - what you see is what you get when you work with us, but productized.

Company

HowTheF is an AI consultancy helping businesses implement practical AI automation. We build custom AI agents and workflows that solve real operational problems—not theoretical demos, but production systems.

Visit HowTheF (Internal)

Industry

AI Education

Prospective clients struggle to understand what AI can do for their specific situation. We needed a way to demonstrate our methodology and provide immediate value before any engagement.

Most consultancies hide their process until you pay. We wanted to flip that—show prospects exactly what working with us looks like before they commit anything.

This is our methodology made transparent - what you see is what you get when you work with us, but productized.

Oliver Gattermayr

Founder, HowTheF

The problem

AI potential lost in abstraction

  • Vague promises: Most AI consultancies speak in buzzwords—prospects couldn't visualize what AI would actually look like for their business.

  • High-friction sales: Discovery calls required significant time investment before prospects could evaluate if we were the right fit.

  • Black box methodology: Our expertise was invisible until engagement, making it hard for prospects to trust our approach.

We kept hearing "sounds great, but what would it actually look like for us?" We needed to answer that question instantly.

Use case01

Problem Enhancement

We start with a simple prompt from the user. But a simple prompt isn't enough for a full roadmap. Our first AI agent acts as a "Business Analyst," analyzing the request to extract implied context, industry-specific challenges, and potential constraints.

It then rewrites the problem statement into a structured, detailed project brief that a technical team could actually work from. This ensures the solutions we generate are grounded in reality, not just generic advice.

1
User Action

Problem Input

User describes their business problem in natural language.

Core Agent Logic
1
Captures raw user input.
2
Identifies core business domain and pain point.
3
Detects implicit requirements.
4
Flags ambiguous terms for clarification.
Inputs
Problem statement
Outputs
Submitted problem
2
AI Agent

AI Enhancement

Multiple AI agents analyze and expand the problem context.

Core Agent Logic
1
Expands problem with industry-standard context.
2
Identifies key stakeholders involved.
3
Structure problem into "Current State" vs "Desired State".
4
Validates feasibility of AI solution.
Inputs
Raw problem statement
Outputs
Enhanced problem definition
Use case02

Workflow Generation

Once the problem is defined, a team of specialized agents gets to work. The "Architect" designs the technical workflow. The "ROI Analyst" estimates time and cost savings based on industry benchmarks. The "Project Manager" breaks it all down into a phased implementation plan.

The result is a comprehensive 7-section roadmap that covers everything from tool selection to potential risks—generated in under 60 seconds.

1
AI Agent

Solution Architecture

AI generates technical solution architecture with step-by-step workflow.

Core Agent Logic
1
Selects optimal AI models and tools.
2
Maps data flow between systems.
3
Identifies necessary human-in-the-loop checkpoints.
4
Visualizes workflow steps.
Inputs
Enhanced problem
Outputs
Technical architectureWorkflow visualization
2
AI Agent

ROI Estimation

AI calculates potential ROI and time savings.

Core Agent Logic
1
Estimates manual hours saved per task.
2
Calculates potential cost reduction.
3
Projects scalability improvements.
4
benchmarks against industry standards.
Inputs
Solution detailsIndustry benchmarks
Outputs
ROI analysis
3
Automation

Implementation Roadmap

Complete roadmap with phases and timelines.

Core Agent Logic
1
Sequences tasks into logical phases.
2
Estimates timeline for MVP vs full rollout.
3
Compiles all sections into final report.
4
Formats for presentation/download.
Inputs
All generated sections
Outputs
Full implementation plan
Impact

Methodology Made Transparent

7

Complete Sections

Generated per workflow

100%

Transparency

Our process visible to all

Instant

Value Delivery

Before any engagement

The workflow builder lets prospects see exactly how we think about AI implementation - no black boxes, no mystery.

Oliver Gattermayr

Founder, HowTheF

Tech Stack

FastAPILangGraphMulti-Agent OrchestrationNext.js
The Fourth Path to Automation

Stop Evaluating. Start Building.

You've seen the results. We bring the infrastructure to launch working agentic workflows in 90 days—that your team actually owns.

Assess → Build → Train Methodology

30-minute call. No pitch deck. Honest feasibility check.