Step 1
Profile setup
Define your role, responsibilities, and communication preferences during onboarding. Takes two minutes.
AI that writes like you, not like everyone
User context captures your role, communication style, writing preferences, and learned patterns from your edits. The more you use Sempleo, the more the agents feel like your personal assistant — not a shared tool.
Shared AI tools produce shared-sounding output
When every team member uses the same AI with the same context, the output converges to a generic average. A partner's email reads like a junior analyst's report. A creative brief sounds like a compliance memo.
People have distinct communication styles, preferred structures, and unconscious patterns. Generic AI erases these differences, producing output that technically works but never feels like yours.
The workaround — maintaining personal prompt libraries or system instructions — is fragile, doesn't transfer across agents, and never improves automatically.
What user context captures
User context is the personal layer. It sits on top of all organizational layers and adapts agent output to the individual who is running it.
This includes your professional role and responsibilities, communication style and formality preferences, writing patterns like sentence length and structure preferences, focus areas and current work priorities, and AI-inferred patterns learned from how you edit and refine agent output over time.
User context is private by default. Your personal preferences shape your agent interactions without being visible to other team members.
How user context gets built
Step 2
Interaction learning
Sempleo analyzes how you edit agent output — what you keep, what you rewrite, and what you delete — to infer your personal style.
Step 3
Preference suggestions
Detected patterns are surfaced as suggestions. You approve or dismiss them, keeping full control over what the AI learns about you.
Step 4
Continuous refinement
Your user context evolves as your style develops. Preferences that no longer match get flagged for review.
What lives in user context
Role & responsibilities
Your position, seniority level, and areas of ownership — so agents calibrate depth, detail, and framing to your perspective.
Communication style
Formality, directness, use of examples, and whether you prefer concise summaries or comprehensive detail.
Writing preferences
Sentence structure, paragraph length, use of headers, list formatting, and stylistic choices that make output feel like yours.
Focus areas
Current work priorities, areas of expertise, and topics you engage with most — agents lean into what matters to you.
Learned patterns
AI-inferred preferences from your edit history: tone adjustments, vocabulary choices, and structural habits detected over time.
Tool preferences
Preferred output formats, favorite agent configurations, and workflow shortcuts that make your personal experience faster.
How agents use user context
User context is the final layer applied before output generation. It takes the organizational, team, client, and project knowledge and adapts the delivery to your personal style. Two team members running the same agent on the same project get output that reflects their individual communication patterns.
For senior professionals, this means AI output that matches their authority and precision. For junior team members, it means guided output that helps them learn the style while still being useful.
Over time, user context becomes the reason Sempleo feels different from other AI tools. It is not just an organizational platform — it is your platform, adapted to how you think and write.
See user context in action
See how Sempleo learns your style
Book a demo and experience AI output that actually sounds like you wrote it.