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Our Story

We believe AI should work for you, not the other way around.

The Beginning

Founded 2025

Remote-first

Open source core

Every consultant knows the drill. You land a new client, and before you can deliver any value, you spend a week rebuilding the same AI prompts, the same workflows, the same guardrails — from scratch.

That frustration is why FlowManner exists. Our founder spent years as a strategy consultant, watching the same pattern repeat across dozens of engagements. The tools were powerful, but every team was solving the same problems in isolation, with no way to capture, refine, and reuse what worked.

So in 2025, we started building. The goal was simple: let consultants build AI workflows once, run them forever. Plan before you execute. Watch every step live. Then let the system learn from each run and suggest improvements for the next.

Today, FlowManner supports 12 LLM providers and runs on an open-source core. The Pro plan ships 50+ pre-built agents; the Free plan includes 5. We believe AI should amplify your expertise — not replace it, not complicate it, and definitely not lock it behind someone else's infrastructure.

What We Believe

Principles that shape every decision

01Principle

Plan Before Execute

AI should never act without a plan you can review, edit, and approve. Every workflow generates a step-by-step mission plan before a single token runs — because trust starts with transparency.

02Principle

Transparency by Default

You should always know what your AI is doing and why. Live execution logs, reasoning traces, and step-by-step visibility are not premium features — they're the baseline of responsible AI tooling.

03Principle

Your Data Stays Yours

We don't train on your conversations. We don't lock you into a single provider. Bring your own API keys, run locally if you want, and keep complete control over every byte of your data.

Founded 2025
Year One
12
LLM Providers
50+
Agents
Open Source
Core Engine
The Team

Glenn Guilloux

FlowManner is a one-person company. It is built by Glenn Guilloux — one person, working with a team of AI agents, which is the same premise the product is sold on. There is no team page here because there is no team to list; inventing one on a product whose pitch is transparency by default would be the single least honest thing we could put on this site.

What that means for you

  • The person who wrote the code is the person who reads your support email. There is no escalation path, because there is no layer between you and the source.
  • Security claims on this site are things you can verify in the repository or the live configuration, not process promises. Where a claim cannot be evidenced, we do not publish it.
  • The trade-off is equally real: one person is a single point of failure and capacity is limited. We would rather say that plainly than imply a bench we do not have.

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