About
People and AI agents, working together on what matters.
Dreamineering helps people and AI agents work together on what matters. Its open Playbook supports practical decisions and action in AI-native ventures, with evidence improving the next choice.
What you value shapes where you put your attention. You own the purpose, consent, accepted risk, and decision to stop. An agent works within the permissions you give it. Start with Purpose, then use the Playbook when the direction is yours.
Supporting capabilities
Choose the support that fits the work.
Tools, skills, processes, and models support a purpose you choose. Judge their usefulness by the decisions and work they help you improve.
Tools
Bounded instruments
Give an agent only the access needed for its task, with a clear stopping point and a record you can review.
Skills
Reusable practice
Use recipes as guidance to try in context. Review what worked, what failed, and what needs to change before reusing them.
Processes
Evidence loops
Follow the whole job, including handoffs and waiting. Record the expected effect, review what changed, and decide what to keep, revise, or stop.
Models
Fit the job
Match a model's capability, cost, and risk to the task. Check its output against the evidence and the permissions for the work.
Hypothetical example
Faster quotes. The same customer wait.
Imagine an agent prepares quotes faster, but customers still wait just as long. This is a hypothetical example, with no claimed results.
Find where the work waits. Check the approval queue before adding more automation. If quotes spend most of their time awaiting approval, faster drafting may leave the customer's wait unchanged.
Choose one bounded change. The human responsible could trial a scheduled approval review for one quote category, within existing permissions and without relaxing approval requirements. Before starting, record the expected effect: shorter turnaround without worse margin, errors, or workload. Set a review window, such as two weeks.
Review the whole result. Compare turnaround time and accepted quotes with the starting position, alongside margin, errors, and staff workload. Use the evidence to retain, revise, or stop the change; inconclusive evidence is still inconclusive. For a fuller method, use Make a Strategic Decision.
Guide, development, experiments
How the pieces fit.
Dreamineering is the guide. Stackmates is the developing coordination substrate. Ideas are venture experiments where we try the approach in our own work.
The Playbook offers practical know-how. Stackmates is supporting software being developed and tested for coordination between people and agents; it does not acquire human authority. The Ideas experiments help us investigate where the guidance and software may be useful.
A published recipe, working tool, or completed experiment alone does not show that someone's life or business improved. That requires evidence of what changed for the people the work was meant to help.
Next step
Name the future you own — then take one followable step.
Decide what matters to you and who the work should help. Use the Playbook when you are ready to choose a practical next step.
Start with PurposeAlready named your intent? Continue in the Playbook.