Multi-agentFinance & Investment AnalysisAdvancedFree

Grant & Funding Application System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready grant & funding application system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategoryFinance & Investment Analysis
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Grant Discovery Agent
Β· 02 Β·
Application Strategist
Β· 03 Β·
Grant Application Writer
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{organization_type}}
Organization type
Organization type
Grant & Funding Application System example context
{{grant_scheme_applying_for}}
Grant scheme applying for
Grant scheme applying for
Grant & Funding Application System example context
{{project_initiative_to_fund}}
Project initiative to fund
Project initiative to fund
Grant & Funding Application System example context
{{funding_amount_needed}}
Funding amount needed
Funding amount needed
Grant & Funding Application System example context
THE AGENTS

The 3-step sequence.

01
AGENT Β· GRANT DISCOVERY

Grant Discovery Agent

GOAL OF THIS STEP

Identify the most relevant Indian government grants, schemes, and funds for this organization. Cover: Startup India (DPIIT recognition + fund of funds), MSME schemes (Credit Guarantee Fund, Technology Upgradation Fund), sector-specific grants (DST, BIRAC for biotech, MEITY for tech), state government schemes (TIDE, iCreate, T-Hub), and private grants (Tata Trusts, Azim Premji Foundation, Bill & Melinda Gates Foundation India). For each: eligibility criteria, grant amount range, application window, and success rate estimate.

EXPECTED OUTPUT

10 relevant grant sources: eligibility + amount range + window + success rate each

agent-01-grant-discovery-agent.md
### Input
Organization type, project, funding need

### Task
Identify the most relevant Indian government grants, schemes, and funds for this organization. Cover: Startup India (DPIIT recognition + fund of funds), MSME schemes (Credit Guarantee Fund, Technology Upgradation Fund), sector-specific grants (DST, BIRAC for biotech, MEITY for tech), state government schemes (TIDE, iCreate, T-Hub), and private grants (Tata Trusts, Azim Premji Foundation, Bill & Melinda Gates Foundation India). For each: eligibility criteria, grant amount range, application window, and success rate estimate.

### Output
10 relevant grant sources: eligibility + amount range + window + success rate each
02
AGENT Β· APPLICATION STRATEGIST

Application Strategist

03
AGENT Β· GRANT APPLICATION

Grant Application Writer

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window β€” every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Grant Discovery Agent

10 relevant grant sources: eligibility + amount range + window + success rate each

Application Strategist

Application strategy per grant: evaluation criteria + winning profile + rejection reasons + strategic framing + priority order

Grant Application Writer

Complete grant application draft: 6 sections aligned to evaluation criteria

β˜… MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free