Syntic AI Pro is a meaningful upgrade. It gathers context for complex jobs, stays with hard work longer, and judges better when to run independently versus check in with you.
It still has Syntic's characteristic personality and values, but you'll notice some behavioral shifts. A few are worth understanding so the AI Employee you hire on Pro works the way you expect.
Follows instructions more precisely
Earlier tiers sometimes needed repeated instructions or heavy prompting to stay on track. Pro follows instructions more carefully the first time.
What this means for you
- You don't need to repeat yourself. Instructions carry through long sessions without drifting.
- Pro picks up on patterns from fewer examples and applies them more effectively going forward.
How to work with this
- Say it once. State your requirements clearly. Pro is less likely to need reinforcement throughout the session.
- A few clear examples is enough. Pro generalizes from them.
- Explain the intent behind the instruction, not just the rule. That gives Pro the context to apply your guidance broadly rather than narrowly.
- Trust that instructions landed. "And remember to…" reminders aren't necessary.
Gathers context before acting
Before making changes, Pro reads the full picture: file structures, existing patterns, dependencies, how things connect. It invests upfront in understanding what it's working with so the work itself is more accurate.
What this means for you
- You don't need to pre-organize complex jobs as carefully. The Employee orients itself.
- Pro can scan across large files, datasets, codebases, and long documents to build understanding before acting. Reliable on jobs that span a lot of material.
- You'll notice sessions starting slower as Pro reads before acting.
How to work with this
- Front-load context. Pro invests in understanding before acting, so the quality of what you share upfront directly shapes the quality of what gets shipped. Share the relevant files, link related documents, describe the broader system.
- Skip the role setting. You don't need to tell the Employee to "act as a [professional]" or "be an expert in…" It infers the appropriate level of expertise from the job and the context.
- Narrow scope on simple jobs. Not every task needs the full picture. For quick asks, point Pro at exactly where to look. "Just look at this file" or "Here's exactly what I need, skip the broader context."
- Ask Pro to show its understanding first. "Walk me through how this is structured, then update X." This catches blind spots early.
Stays persistent on difficult tasks
Pro stays with a problem longer and works through alternatives independently. It pushes through hard work rather than settling for an easy answer.
What this means for you
- Complex, multi-step jobs are more likely to land on the first attempt.
- Complex jobs may take longer. Pro tries multiple approaches before checking in.
- Pro can occasionally go beyond what was requested — a more detailed response than needed, or extra files you didn't explicitly ask for. Clear scope and explicit constraints keep output focused.
How to work with this
- Set check-in points. If you prefer working in smaller steps, tell Pro when to pause. "Check with me after each major step" or "Ask me before trying more than two or three approaches."
- Recognize looping. If Pro is trying variations of the same approach without progress, step in with a specific alternative.
- Ask for collaboration. For jobs where you want to stay involved, set the expectation upfront. "Let's work on this interactively. Talk to me step by step."
Weighs in more readily
Pro commits to a direction more readily and is more willing to offer alternatives when it sees a different path. Earlier tiers tended to defer to your framing even when a different approach might have worked better.
What this means for you
- Pro may act on a job rather than ask for confirmation first. Efficient, but may mean changes you didn't expect. If you want to review actions before they happen, set that expectation upfront. When dispatching through Syntic CLI or other agentic tools, Pro may commit to an implementation rather than presenting options first.
- Pro is less susceptible to leading questions and less likely to immediately confirm what you've given it. That said, framing still influences the response, so be mindful of framing when objectivity matters.
- This is most valuable on architectural decisions, strategy, and anything where catching a bad assumption early saves real time.
How to work with this
- Ask to explore alternatives. "What are three ways we could approach this?"
- Set expectations for when to pause. If you want Pro to share its plan before acting, say so. "Walk me through your approach before making changes."
- Be direct when your mind is made up. "I've considered the alternatives. Please proceed with this approach."
- Stress-test deliberately. "What's wrong with this plan?" or "What am I missing?"
Delivers stronger writing
Pro is better at matching styles, holding voice across long pieces, and keeping complex documents coherent and well-structured.
What this means for you
- Writing quality is noticeably higher.
- Pro can match styles from previous work.
- Unguided output may still have recognizable AI patterns. Setting clear voice and tone preferences helps.
How to work with this
- Lead with an example. Share a sample of the style you want. Pro matches it.
- Name what to avoid. Pro will follow style constraints.
- Use Pro as a writing partner for co-authoring and continuing existing work.
- Trust Pro with longer and more ambitious creative projects.
See what these shifts look like on real work
Pro handles more so you can think bigger:
Evaluate a company from the science to the balance sheet
The Employee reads across SEC filings, clinical trials, and patents before surfacing what contradicts the narrative.
Source insights from your tools to build a deck
The Employee chases leads across your connected tools, finds what no single source shows, and ships a presentation around it.
Stress-test your financial plan across scenarios
The Employee tests your plan against a full range of outcomes and tracks how each risk cascades through the rest.
Map your understanding and build lessons from the gaps
The Employee traces your confusion to its source, maps what you already understand, and builds lessons around the gap.