Qi is the intelligent co-operating system for working together with intent. A new frontier for Web3 and AI-enabled productivity software. Follow @ixoworld.
Agent workflows fail on brittle foundations.
Qi depends on reliable execution.
Explore the repos to see how our CI actions and deploy tooling are organised, and how we ship repeatably across environments: https://t.co/x3hBJi8zBq
🎧 You cannot scale agent workflows on a fragile foundation.
Listen to the DevOps reliability layer behind shipping, then join Qi Early Access -> https://t.co/FMe99hpuVS
Link to Audio: https://t.co/awvtt1SrkP
"It works on my machine" is not a valid defense.
It’s an environment problem.
Automation is how you bridge the gap between localhost and production.
Luke Petzer, DevOps Lead for IXO, shares his deep dive on the systems that keep IXO running: https://t.co/dxVXCo2s3z
Chat is not the product. Execution is.
Want agents to do real work? You need more than a prompt: Data as active intelligence, agents triggered by state changes, observability that captures the "Why."
Are you building for chat, or for execution?
https://t.co/OmuczmDnxO
The risk is not “AI got it wrong”.
The risk is “AI acted and nobody can audit it”.
Qi is being built for accountable human AI cooperation.
Reserve your space in our early access queue -> https://t.co/3U3xQySmOl
Qi is being built as a human and AI co operating system.
Specialised agents. Defined roles. Access to specific data and tools. Clear rules. Verifiable accountability.
For accountable AI, you need more than prompts. You need structure and feedback loops: https://t.co/n0w9GB9QAl
AI can draft without context. Strategy cannot.
We’re building Qi so AI can operate over a team’s intent, not just the last prompt.
What the survey data reveals: https://t.co/7EFbiPuxML
AI trust is structural, not optimistic.
We're building Qi to anchor reasoning in shared state - moving beyond the single-prompt vacuum.
-> https://t.co/FMe99hpuVS
The downsides are real:
hallucinations, context gaps, misalignment
-> https://t.co/7EFbiPuxML
The response is structural:
authenticated shared state, trust signals, and humans who can challenge and refine.
-> https://t.co/3U3xQyROYN
Failure modes are predictable: hallucinations, context gaps, misalignment.
The fix is structure: authenticated shared state, provenance and trust signals, plus a human loop to challenge and refine outputs.
-> https://t.co/3U3xQySmOl
-> https://t.co/7EFbiPv5Cj
Most tools use AI to make tasks faster. Qi uses it to make outcomes trustworthy.
To move from an AI "taskmaster" to a true "thinking partner," the reasoning must be visible and justified -> https://t.co/7EFbiPv5Cj
Which foundation of trust matters most for your workflow?
Qi is built for the integration phase of AI.
Leverage is better reasoning, not faster typing.
AI needs shared state: intent, insights, feedback, assumptions with evidence, hypotheses with outcomes, strategic signals.
Provenance and trust -> https://t.co/HE4I0uLo3V
A good test for any AI system: Does it leave the humans around it clearer, or more tired?
Qi is designed for the first outcome by making flows inspectable and turning evidence into shared state.
An antidote to lazy intelligence: https://t.co/hEZ2SHl9vh
A Flow is not a static diagram.
It is a live map of work and a governed path from intent to verified outcomes.
Designing your first governed workflows? Start here: https://t.co/WWc1UN3R1Z
We aren't building "AI assistants."
We are building accountable agents.
Every Flow should capture:
• Why a goal was pursued.
• Who was authorised.
• What evidence was used. A persistent, inspectable record.
Read: https://t.co/4WoWcVxiEL
The answers to the @ixoworld poll likely span convenience and critical systems.
Qi is built for the second category -> https://t.co/FMe99hpuVS
Wherever outcomes affect rights, money, climate, or health, the Flow itself needs to be visible, justified, and verifiable.