Adam Danyal
Most people want AI agents but don’t know where to start.This breaks the work into simple steps you can follow.Strong agents come from clear rules, clear roles, and clear behavior.When the structure is right, everything else becomes easier.Here are ten steps that guide the full build from idea to launch.1. Define the missionMake the job simple, specific, and tied to the problem you solve.Know the output so you understand what success looks like.2. Set strict data rulesDecide what the agent accepts and how it should respond.Treat the flow like an API so nothing is left to interpretation.3. Build core behaviorShape the role, the boundaries, and the way it handles requests.Add tuned responses so actions stay steady across tasks.4. Add reasoning and tool accessGive the agent a clear method to think through steps.Use search, code, or retrieval tools when the task demands it.5. Add memory and past contextStore key details the agent needs for future tasks.Use memory when accuracy improves with recall.6. Coordinate multiple rolesSplit big tasks into smaller parts with single responsibilities.Map the handoff so the flow stays consistent.7. Add voice or visionUse voice when spoken replies improve the experience.Use vision when tasks need image-level understanding.8. Deliver structured resultsReturn answers in clear, predictable formats.Keep the structure the same every time.9. Build the front endCreate a simple UI or expose an API for direct use.Keep it fast, steady, and easy to follow.10. Test, measure, improve Run fixed tests to spot drift and weak steps. Update the setup before scaling to users.Teams move faster when they follow a structure like this.It keeps the build predictable and the output steady.What would you include that isn’t here? Comment below.
2 weeks ago | [YT] | 2
Adam Danyal
Most people want AI agents but don’t know where to start.
This breaks the work into simple steps you can follow.
Strong agents come from clear rules, clear roles, and clear behavior.
When the structure is right, everything else becomes easier.
Here are ten steps that guide the full build from idea to launch.
1. Define the mission
Make the job simple, specific, and tied to the problem you solve.
Know the output so you understand what success looks like.
2. Set strict data rules
Decide what the agent accepts and how it should respond.
Treat the flow like an API so nothing is left to interpretation.
3. Build core behavior
Shape the role, the boundaries, and the way it handles requests.
Add tuned responses so actions stay steady across tasks.
4. Add reasoning and tool access
Give the agent a clear method to think through steps.
Use search, code, or retrieval tools when the task demands it.
5. Add memory and past context
Store key details the agent needs for future tasks.
Use memory when accuracy improves with recall.
6. Coordinate multiple roles
Split big tasks into smaller parts with single responsibilities.
Map the handoff so the flow stays consistent.
7. Add voice or vision
Use voice when spoken replies improve the experience.
Use vision when tasks need image-level understanding.
8. Deliver structured results
Return answers in clear, predictable formats.
Keep the structure the same every time.
9. Build the front end
Create a simple UI or expose an API for direct use.
Keep it fast, steady, and easy to follow.
10. Test, measure, improve
Run fixed tests to spot drift and weak steps.
Update the setup before scaling to users.
Teams move faster when they follow a structure like this.
It keeps the build predictable and the output steady.
What would you include that isn’t here? Comment below.
2 weeks ago | [YT] | 2