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.
âś… 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.
âś… 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.
âś… 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.
âś… 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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