Some of the most valuable insights hide in messy places — unclear audio, overlapping speakers, and real-world imperfect information. Until recently, this was nearly impossible to use. But today, AI + structured prompting architectures can turn noisy recordings into high-clarity, decision-ready intelligence.
Join us for our upcoming dcif webinar:
“High Clarity Summaries with AI: Precision Workflows ”
In this session, we cut through the hype and focus on practical, human-in-the-loop architectures that transform raw data (transcripts, reports, news) into summaries trusted by decision-makers.
🔍 What You’ll Learn
✅ The “Order & Recipe” Framework
Why generic prompts fail — and how to use Agentic Roles and Chain-of-Thought to force the AI into an expert mindset.
✅ Quality Control Railguards
How to use technical constraints (and code execution) to stop hallucinations and ensure outputs follow your exact structure.
✅ The “Lazy” Engineering Hack
Let the AI build your prompt library and save hours of trial and error.
✅ Real-World Workflow Demo
Vineeth will show a real dcif case where difficult conference audio was turned into a
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Some of the most valuable insights hide in messy places — unclear audio, overlapping speakers, and real-world imperfect information. Until recently, this was nearly impossible to use. But today, AI + structured prompting architectures can turn noisy recordings into high-clarity, decision-ready intelligence.
Join us for our upcoming dcif webinar:
“High Clarity Summaries with AI: Precision Workflows ”
In this session, we cut through the hype and focus on practical, human-in-the-loop architectures that transform raw data (transcripts, reports, news) into summaries trusted by decision-makers.
🔍 What You’ll Learn
✅ The “Order & Recipe” Framework
Why generic prompts fail — and how to use Agentic Roles and Chain-of-Thought to force the AI into an expert mindset.
✅ Quality Control Railguards
How to use technical constraints (and code execution) to stop hallucinations and ensure outputs follow your exact structure.
✅ The “Lazy” Engineering Hack
Let the AI build your prompt library and save hours of trial and error.
✅ Real-World Workflow Demo
Vineeth will show a real dcif case where difficult conference audio was turned into a high-clarity, professional output — using reconstruction, contextual anchoring, and staged prompting to recover meaning from fragmented inputs.
🎙️ Speakers
Vineeth Vijayakumar
Market Intelligence Expert & Board Member at dcif
Vineeth blends analytical structure with a storytelling mindset. He will present the foundational workflow for transcript-based summarization.
Thorsten Bill
Business Development Manager at the Institute for Competitive Intelligence
Thorsten is a specialist in AI prototyping for intelligence professionals. He shares his top engineering principles for 2025 — moving from simple chatting to building robust, reusable prompt assets.
🎯 Who Should Attend
Anyone who works with messy inputs and needs clear, reliable outputs.
If your work requires sense-making, synthesis, or structured intelligence, this session is for you.
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